Special Session & Minisymposiums

General Session
 High Performance Computing (HPC)
 Mathematically modeling the future Internet and developing future Internet security technology
 Computational Finance
 New Educational Methodologies Supported by New Technologies
 Mathematical Models and InformationIntelligent Systems on Transport
 Computational Methods for Linear and Nonlinear Optimization
 Numerical Methods for Solving Nonlinear Problems
 Biomathematics
 Mathematical Models for Computer Science
 Mathematics meets Chemistry – Theoretical Models at the Nanoscale
 Hypercomplex methods in mathematical and Applied Sciences
 Fixed Point Theory in various abstract spaces and related applications
 Industrial Mathematics
 Computational methods for fluid flow
 Pattern formation in spatially extended systems
 Fractional calculus and applications
 New Trends on Boundary Value Problems
 Estimation and control for stochastic systems: theory and applications
 Numerical Methods in Mathematics and Mechanics
 Machine Learning Techniques in Bioinformatics
 Numerical Problems on Algebraic Curves and Surfaces
 New advances in statistical methodologies
 Non Newtonian Calculus. Theory and Applications
 Homogenization of Partial Differential Equations. Micromechanics. Elasticity and conductivity of composite materials
 Mathematical modelling of Manmade Natural disasters: forest fire & environmental pollution
 Recent trends in the analysis and computations of nonlinear partial differential equations and systems
 Control and estimation for Cyberphysical and Distributed parameter systems
 Rank structured matrices: recent developments and new perspectives
 Computational intelligence methods for solving complex optimization problems
 Dynamics and stability of nonlinear wave patterns
 Flow Control, Active/Passive
 Numerical Linear Algebra Methods for Large Scale Scientific Computing
 Mathematics, Science and Engineering Education
 Recent trends in the development of meshless or meshfree methods and applications.
 Contemporary Approaches In Multivariate Representations And Approximation Methods For Discrete And Conttinuous Mathematical Objects
 Lie Symmetry Analysis and Conservation Laws for Nonlinear Differential Equations and Applications
 Statistical Modeling and Applications
 Orthogonal Polynomials and Applications
 Complex Networks
 Data Analysis and Modelling Science and Engineering: Numerical Methods and Computational Approaches
 Multiscale modeling of solid/fluid systems with focus on structures, thermodynamic properties and industrial applications
 Theoretical and computational of the free boundary problems
 Processing, modelling, and describing time series
 Data mining and engineering
 Metaheuristics in science and engineering
 Linear Algebra, Matrix Analysis and Applications
 Iterative methods for linear and nonlinear systems in large scale scientific computing
 Uncertainty Quantification and Mathematical Modelling
Minisymposiums:
Regular Session
There will be a General Session with speakers from different areas, as well as a number of MiniSymposiums and Special Sessions. You can submit a paper to the general session or to any of the miniSymposiums.
Minisymposiums:
 High Performance Computing (HPC)
 Mathematically modeling the future Internet and developing future Internet security technology
 Scalability for future internet architectures.
 Network models.
 Services for the Future Internet.
 Cloud Computing scalability, delay, quality, stability and management.
 Sensor/human/vehicular mobility in wireless/mobile networks.
 Mobility protocols used in wireless/mobile networks.
 Location management and handover used in Future Internet and wireless/mobile networks.
 Bandwidth allocation and resource scheduler used in Future Internet and wireless/mobile networks.
 Security protocol and access control management used in Future Internet and wireless/mobile networks.
 Signature and hashing techniques.
 Green networks.
 Connectivity and Communication Technology.
 Middleware for Smart Spaces and PAN.
 Multimedia Communication and Streaming.
 Computational Finance
 New Educational Methodologies Supported by New Technologies
 Development of new tools for education.
 Elearning.
 Social networks and education.
 PLE  Personal Learning Enviroment.
 Cooperative and Collaborative Learning.
 PBL  Problem Based Learning.
 Mathematical Models and InformationIntelligent Systems on Transport.
 Acad. of RAS, Valerii V. Kozlov, Steklov Mathematical Institute of RAS, kozlov@pran.ru
 Prof. Alexander P. Buslaev, Moscow State Automobile and Road Technical University, Russia, apal2006@yandex.ru
 Computational Methods for Linear and Nonlinear Optimization.
 Organized by Maria Teresa Torres Monteiro, Universidade do Minho (Portugal)
 Numerical Methods for Solving Nonlinear Problems
 Multipoint iterative methods (with or without memory)
 Steffensentype methods
 Highorder methods
 Iterative methods for singular problems
 Iterative methods for Banach spaces
 Dynamical studies of iterative methods
 Optimization problems
 Nonlinear wave problems
 Digital image processing
 Electromagnetic problems involving discretization of boundary problems, integral equations, initial value problems...
 Prof. J.R. Torregrosa, Instituto de Matemáticas Multidisciplinar, Universidad Politécnica de Valencia, Spain: jrtorre@mat.upv.es
 Dr A. Cordero, Instituto de Matemáticas Multidisciplinar, Universidad Politécnica de Valencia, Spain: acordero@mat.upv.es
Biomathematics
 population dynamics
 ecoepidemiology
 epidemiology of infectious diseases
 molecular and antifenic evolution
 Ezio Venturino, University of Torino italy , ezio.venturino@unito.it
 Ezio Venturion, Univerity of Torino, Italy
 Maíra Aguiar, University Lisbon, Portugal, maira@ptmat.fc.ul.pt
 Roberto Cavoretto  University of Torino (Italy), roberto.cavoretto@unito.it
Mathematical Models for Computer Science
Mathematics meets Chemistry – Theoretical Models at the Nanoscale
Hypercomplex methods in mathematics and Applied Sciences
 Klaus Gürlebe (Weimar, Germany)
 Helmuth Malonek (Aveiro, Portugal)
 Fixed Point Theory in various abstract spaces and related applications
 Fixed Point theory in various abstract spaces
 Existence and uniqueness of coupled/tripled/quadrupled fixed point
 Coincidence point theory
 Existence and uniqueness of common fixed points
 Wellposedness of fixed point results
 Advances on multivalued fixed point theorems
 Fixed point methods for the equilibrium problems and applications
 Iterative methods for the fixed points of the nonexpansivetype mappings
 Picard operators on various abstract spaces
 Applications to different areas
 Antonio Francisco Roldán López de Hierro , University of Jaén, Spain. afroldan@ujaen.es
 Juan Martínez Moreno , University of Jaén, Spain. jmmoreno@ujaen.es
 Erdal KARAPINAR, ATILIM University Turkey. ekarapinar(at)atilim.edu.tr
 Industrial Mathematics
 Computational methods for fluid flow
 Mesh generation
 Mesh refinement techniques
 Computational methods and their performance
 Practical applications of computational methods for fluid flow
 Visualization techniques in fluid flow simulations
 High performance computing techniques for fluid flow simulation
 Dr Zhenquan Li, School of Computing and Mathematics, Charles Sturt University, AlburyWodonga campus, NSW 2640, Australia (jali@csu.edu.au)
 Prof. Tiejin Wang, China Academy of Aerospace Aerodynamics, Beijing, China (tiej701@sina.com)
 Pattern formation in spatially extended systems
 António F. Miguel, University of Évora, Portugal
 Fractional calculus and applications
 Mathematical analysis in fractal and fractional calculus
 Mathematical models in fractal and fractional calculus
 Computational methods in fractal and fractional calculus
 Integral transforms and applications in fractal and fractional calculus
 Fractal and fractional differential equations
 Fractal and fractional dynamics and applications
 Realworld problems within fractal and fractional calculus
 Dr. XiaoJun Yang, University of Mining and Technology, People's Republic of China
 Dr. Carlo Cattani, University of Tuscia, Italy
 Dr. Feng Gao, University of Mining and Technology, People's Republic of China
 New Trends on Boundary Value Problems
 Ordinary and Partial Differential Equations
 Difference Equations
 Nonlocal and functional boundary value problems on bounded or unbounded domains
 Fractional Calculus and Applications
 Calculus on Time Scales and Applications
 Existence, uniqueness and multiplicity results by variational and/or topological methods
 Qualitative and Fixed Point Theory
 Applications to real world phenomena.
 Feliz Minhós, University of Évora, Portugal
 João Fialho, American University of the Middle East, Kuwait
 Estimation and control for stochastic systems: theory and applications
 Estimation for uncertain systems
 Distributed fusion estimation
 Consensus filtering
 Fusion estimation for networked systems with incomplete information
 Eventbased estimation and control
 Waveletbased estimation
 Inference in stochastic diffusion models
 Control systems design
 Process control
 Analysis and control of fuzzy models
 Robust control
 Fault detection and isolation
 Fault tolerant control
 Raquel Caballero Águila, University of Jaén, Spain
 Josefa Linares Pérez, Universty of Granada, Spain
 Numerical Methods in Mathematics and Mechanics
 Mihai Dupac, Faculty of Science and Engineering, Bournemouth University, UK
 Machine Learning Techniques in Bioinformatics
 Biomedical image analysis/processing
 Computer aided diagnosis/treatment of diseases
 Treatment outcome modelling/analysis
 Detection of cancer lesions in diagnostic images
 Analysis of high throughput biotechnology data
 Analysis and prediction of anatomical motion
 Healthcare applications of mobile and pervasive technologies
 Mobile solutions for sharing information in healthcare services
 Modelling, simulation, and evaluation of healthcare services
 Evaluation and use of information technology in healthcare
 Industrial challenges in bioinformatics
 Future directions and challenges in bioinformatics
 Seifedine Kadry, American University of the Middle East, Kuwait
 Numerical Problems on Algebraic Curves and Surfaces
 Sonia Pérez Díaz, Dpto. de Física y Matemáticas, Universidad de Alcalá, Spain
 New advances in statistical methodologies
 Distribution theory
 Asymptotic and nearexact distributions
 Estimation, Inference and Testing related issues
 Big data analysis
 High dimensional data analysis
 Extreme value theory
 Bayesian statistics
 Filipe J. Marques, Centro de Matemática e Aplicações, Universidade Nova de Lisboa, Portugal
 Carlos A. Coelho, Centro de Matemática e Aplicações, Universidade Nova de Lisboa, Portugal
 Non Newtonian Calculus. Theory and Applications
 Fernando Córdovalepe, Universidad Católica del Maule, Chile
 Marco Mora, Universidad Católica del Maule, Chile
 Homogenization of Partial Differential Equations. Micromechanics. Elasticity and conductivity of composite materials
 Carmen Calvo Jurado, Dpto. Matemáticas, Escuela Politécnica, Universidad de Extremadura, Spain
 Mathematical modelling of Manmade Natural disasters: forest fire & environmental pollution
 Valeriy Perminov, Tomsk Polytechnic University, Russia
 Recent trends in the analysis and computations of nonlinear partial differential equations and systems
 Deterministic and stochastic models in sciences, engineering and economics.
 Discrete and/or continuous nonlinear systems.
 Existence and uniqueness of relevant solutions.
 Approximation theory.
 Numerical methods (finite differences, finite elements, finite volumes, quadrature methods, etc.)
 Efficiency, accuracy, stability, convergence analyses.
 Preservation of positivity, boundedness, convexity or monotonicity.
 Multiphysical and/or engineering applications.
 Matthias Ehrhardt, Bergische Universität Wuppertal, Germany
 J. E. MacíasDíaz, Universidad Autónoma de Aguascalientes, Mexico
 Tim Sheng, Baylor University, USA
 Control and estimation for Cyberphysical and Distributed parameter systems
 Control for cyberphysical systems: stability and robustness issues
 Estimation for cyberphysical systems: globally convergent estimation methods
 Control for distributed parameter systems: stability and robustness issues
 Estimation for distributed parameter systems: globally convergent estimation methods
 Applications to power generation
 Applications to robotics
 Applications to transportation systems
 Applications to biosystems
 Applications to socioeconomic systems
 Gerasimos Rigatos, Unit of Industrial Automation, Industrial Systems Institute, Greece
 Rank structured matrices: recent developments and new perspectives
 Aceto Lidia, Department of Mathematics, University of Pisa, Italy
 Boito Paola, XLIMDMI, UMR 7252 CNRS Université de Limoges, France
 Gemignani Luca, Department of Computer Science, University of Pisa, Italy
 Computational intelligence methods for solving complex optimization problems
 Genetic algorithms
 Evolutionary strategies
 Genetic programming
 Ant colony optimization
 Swarm intelligence
 Neural networks
 Reggie Davidrajuh, University of Stavanger, Norway
 Petrica Pop Sitar, Technical University of ClujNapoca, Romania
 Jose R. Villar, University of Oviedo, Spain
 Dynamics and stability of nonlinear wave patterns
 Problem of arbitrary discontinuity disintegration in media with dispersion and dissipation. Formation of selfsimilar assymptotics and conditions of selection in the case of nonuniqueness of such an asymptotics.
 Discontinuities with structure, their form and stability.
 Dispersive and diffusivedispersive shock waves.
 Nonlinear wave patterns in fluid with elastic boundaries.
 Standing and running solitary waves in elastic membrane fluidfilled tubes (modeling, in particular an aneurysm on human arteries), their stability.
 Nonlinear solitary waves (solitary waves, envelope solitary waves, “dark solitons” , etc.) on the waterice surface.
 Nonlinear wave patterns on phase transition surfaces in filtration flows.
 Flows in geothermal systems.
 Flows with water evaporation.
 Dynamics and stability of solitary waves and fronts in a quasineutral plasma.
 Andrej T. Il’ichev, Steklov Mathematical Institute of Russian Academy of Sciences, Gubkina str. 8, Moscow, Russian Federation
 Anna P. Chugainova, Steklov Mathematical Institute of Russian Academy of Sciences, Gubkina str. 8, Moscow, Russian Federation
 Flow Control, Active/Passive
 Boundary layer separation.
 Boundary layer instabilities.
 Lift and drag enhancement on any bluff body, aerofoils, cars, trucks, turbines etc.
 Synthetic jets, Fluidic actuators, Plasma actuators.
 Passive applications on Flow control.
 Noise reduction using Flow control.
 Mixing enhancement on combustion chambers.
 Ivette Rodriguez, UPCESEIAAT, Heat Engines Department (Spain)
 Fernando Mellibovsky, UPCEETAC, Physics Department (Spain)
 Manel Soria, UPCESEIAAT, Physics Department (Spain)
 Josep M Bergadà, UPCESEIAAT, Fluid Mechanics Department (Spain)
 Numerical Linear Algebra Methods for Large Scale Scientific Computing
 Iterative methods and preconditioners for general linear systems
 Block preconditioners for saddle point linear systems
 Lowrank updates of preconditioners in eigenvalue computation.
 Algebraic multigrid methods
 Efficient approximations of functions of large matrices
 Luca Bergamaschi, Department of Civil Environmental and Architectural Engineering, University of Padua (Italy)
 Angeles Martinez, Department of Mathematics, University of Padua (Italy)
 Mathematics, Science and Engineering Education
 Use of robotics in primary and secondary Education
 Use of innovative and original techniques on science education
 Development of online tools for mathematics and engineering education
 Massive Open Online Courses
 Use of engineering techniques in primary and secondary Education
 Teaching programming languages in Primary and Secondary Education
 Ángel Alberto Magreñán, Universidad Internacional de La Rioja (Spain)
 Nuria Arís Redó, Universidad Internacional de La Rioja (Spain)
 Recent trends in the development of meshless or meshfree methods and applications.
 Recent development and improvement of existent meshless methods techniques and algorithms
 Presentation of new meshless approaches and/or application fields including error analysis, as well as examination of solution efficiency
 Development and improvement of relevant mathematical analyses
 Luis Gavete, Technical University Madrid (Spain)
 Juan José Benito, National Distance Education University Madrid (Spain)
 Francisco Ureña, Castilla la Mancha University (Spain)
 Contemporary Approaches In Multivariate Representations And Approximation Methods For Discrete And Conttinuous Mathematical Objects
 Singular Value Decompisition Issues on Discrete Structures
 Singular Value Decompisition Issues on Continuous Structures
 Multivariate Taylor Series and Related Problems
 Global and Discretized Multivariate Integration Methods
 Mathematical Fluctuation Theory and its Applications
 Kronecker Power Series and Related Issues
 Probabilistic Evolution Theoretical (PREVTH) Applications
 Monocular and Telescopic Matrix Related Issues, Squarification
 High Dimensional Model Representation (HDMR) Varieties
 Enhanced Multivariance Products Representation (EMPR) Varieties
 Tridiagonalization and Block Tridiagonalization in EMPR Varieties
 Rational Approximations in Multivariance
 Metin Demiralp, İstanbul Teknik Üniversitesi, Turkey
 Lie Symmetry Analysis and Conservation Laws for Nonlinear Differential Equations and Applications
 C. M. Khalique, International Institute for Symmetry Analysis and Mathematical Modelling, Department of Mathematical Sciences, NorthWest University, Mafikeng Campus, Private Bag X 2046, Mmabatho 2735, South Africa
 M. L. Gandarias, University of Cadiz, Spain
 M. S. Bruzón, University of Cadiz, Spain
 Statistical Modeling and Applications
 M. Virtudes AlbaFernández, Universidad de Jaén, Spain
 M. Dolores JiménezGamero. Universidad de Sevilla, Spain
 Orthogonal Polynomials and Applications
 Properties of Orthogonal Polynomials
 Properties of Special Functions
 Jacobi, Laguerre, and Hermite polynomials
 Inequalities and Zeros of Orthogonal Polynomials
 Representaions, Expansions, and Asymptotic Properties
 Computation of Orthogonal Polynomials
 Applications to Real Life Problems
 Solutions in Differential Equations
 Solutions in Partial and Integrodifferential Equations
 Prof. Dr. Abedallah Rababah, Department of Mathematics and Statistics, Irbid, Jordan
 Complex Networks
 Modelling real systems as complex networks
 Applications of network science
 Dynamics of evolving networks
 Dynamics on complex networks
 Collective behaviour of dynamical networks
 Community detection in networks
 Temporal networks
 Multilayer complex networks
 Network of networks
 Diffusion process on networks
 Social networks analysis and mining
 Mahdi Jalili, RMIT University, Melbourne Australia
 Mostafa Salehi, University of Tehran, Iran
 Matteo Magnani, Uppsala University, Sweden
 Reza Farahbakhsh, Telecom SudParis, France
 Data Analysis and Modelling Science and Engineering: Numerical Methods and Computational Approaches
 Salvatore Cuomo, University of Naples Federico II, Italy
 Francesco Giannino, University of Naples Federico II, Italy
 Multiscale modeling of solid/fluid systems with focus on structures, thermodynamic properties and industrial applications
 Professor Bjørn Kvamme, University of Bergen, Norway
 Theoretical and computational of the free boundary problems
 Computational methods for elliptic variational or quasivariational inequalities.
 Computational methods for parabolic variational or quasivariational inequalities.
 Applications of HamiltonJacobiBellman equations wihch approximated by a weakly coupled system of variational or quasivariational inequalities in science, economics and engineering.
 Convergence of new proposed iterative schemes and applications.
 Applications of variational or quasivariational inequalities in stochasticanalysis and applications
 Prof. Salah Boulaaras, Chair of Scienti c Research Center of College Of Sciences and Arts, AlRas, Qassim University, Kingdom Of Saudi Arabia
 Prof. Mahmoud AbdelAty, Zewail City of Science and Technology, Egypt
 Prof. Mohamed Haiour, Annaba University, USA
 Processing, modelling, and describing time series
 Methods for processing time series represented as raw data
 Structures to represent time series
 Efficient modelling of time series
 Querying time series
 Linguistic description of time series
 Juan MorenoGarcia, University of CastillaLa Mancha, Toledo, Spain
 Luis RodriguezBenitez, University of CastillaLa Mancha, Ciudad Real, Spain
 Data mining and engineering
 Computational intelligence
 Machine learning
 Databases and data mining
 Fuzzy systems
 Intelligent applications
 Bioinformatics
 Signal mining
 Classification
 Regression
 Data fusion
 Granular computing
 Cloud computing
 Web intelligence
 Deep Learning
 Hybrid intelligent systems
 Complex and biological inspired systems
 Antonio J. TallÛnBallesteros, University of Seville, Spain
 David Glass, Ulster University, United Kingdom
 Metaheuristics in science and engineering
 Metaheuristics: theory and foundations
 BioInspired computation
 Memetic algorithms
 Evolutionary computing
 Genetic algorithms
 Evolutionary programming
 Evolutionary strategies
 Swarm intelligence
 Particle swarm optimization
 Ant colony optimization
 Stochastic diffusion search
 Artificial immune systems
 Bird flocking
 Cultural algorithms
 Artificial bee colony optimization
 Harmony search
 Antonio J. TallÛnBallesteros, University of Seville, Spain
 David Glass, Ulster University, United Kingdom
 Bing Xue, Victoria University of Wellington, New Zealand
 Antonio J. TallonBallesteros, University of Seville, Spain
 Qingfu Zhang, City University of Hong Kong, Hong Kong
 Linear Algebra, Matrix Analysis and Applications
 Linear algebra applied to the digital processing of images and search engines on the internet and social networks.
 High precision structured algorithms.
 Numerical algorithms in multicriteria optimization
 Applications of linear algebra and interpolation to CAGD problems.
 Symbolic and numerical computation of systems of polynomial equations.
 High performance matrix computing.
 Cryptology and code theory. Cybersecurity
 Geometric study of multivariable and largescale linear control systems.
 Numerical methods adapted to structured matrices.
 Inverse spectral problems, matrix and digraphic realizations of spectra.
 Theory of matrix disturbance. Structured matrices: structured spectral disturbance.
 Control systems: mathematical theory, matrix analysis, geometry, etc.
 Nonlinear eigenvalue problems.
 Generalized inverses of matrices and applications.
 José Mas, Departament de Matemàtica Aplicada, Unisersitat Politècnica de València (Spain)
 Pedro Alonso, Departamento de Matemáticas, Universidad de Oviedo (Spain)
 Iterative methods for linear and nonlinear systems in large scale scientific computing
 Iterative methods and preconditioners for general linear systems
 AMG and/or multilevel preconditioners
 Block preconditioners for saddle point (KKT) linear systems
 Lowrank updates of preconditioners in eigenvalue computation.
 Least squares problems
 Efficient approximations of functions of large matrices
 Luca Bergamaschi, Department of Civil Environmental and Architectural Engineering, University of Padua (Italy)
 José Marín, Institute for Multidisciplinary Mathematics, Polythecnic University of Valencia (España)
 Uncertainty Quantification and Mathematical Modelling
 Random ordinary and partial differential equations
 Random difference equations
 Random fractional differential equations
 Random integral equations
 Random delay differential equations
 L^prandom calculus
 Numerical schemes for random differential equations (consistency, stability and convergence)
 Uncertainty Quantification: Techniques for parameter estimation in random difference and differential equations
 Mathematical Modelling with randomness in Finance, Biology, Medicine and Engineering
 Prof. J.C. Cortés, Instituto Universitario de Matemática Multidisciplinar (IMM), Universitat Politécnica de València (Spain)
 Prof. R.J. Villanueva, Instituto Universitario de Matemática Multidisciplinar (IMM, Universitat Politécnica de València (Spain)
New largescale problems with growing computational demands continuosly arise in many scientific and engineering applications as, e.g., in bioinformatics, computational chemistry or astrophysics. Effectively solving these problems requires the development of sophisticated numerical methods as well as efficient use of current highperformance computers connection with the network pending of approval
The purpose of this workshop is to bring together applied mathematicians, computer scientists, and in general researchers with costly applications or a fair knowledge/interest in high performance computing, to present, share and discuss their techniques, tools and ideas in the area of high performance computing applied to complex largescale computational problems.
A limited number of contributed talks will be selected for this minisymposium. Full papers should be submitted through the conference web site before May 10, 2013 and follow the instructions for authors for the general conference in their submissions. Best papers presented at the minisymposium will be considered for a special issue of The Journal of Supercomputing.
All aspects of the future Internet are welcome. Future Internet will involve a network with new structures that accept various requirements such as present and future broadband, scalability, security, quality, mobility, management, stability, ubiquity, and economical efficiency as the infrastructure with communication, broadcasting, computing, and sensors are united.
Interested topics but not limited to: Performance Modeling / Formal evaluation / Modal logic / Model checking / Theorem proving / Definition or design of:
Financial markets are becoming more and more complex with trading not only of stocks, but also of numerous types of financial derivatives. Options and Derivative securities account for more than half the modern market and the basic tools for risk hedging in any portfolio management. The development of mathematical models to understand the relationship among complicated financial instruments has enabled the proliferation of these instruments which enhance the efficiency of worldwide capital markets. With the rapid increase in sophisticated quantitative models employed in financial firms, it then follows that development of advanced computational techniques for the accurate evaluation of complex financial models have considerable financial worth in addition to constituting cutting edge research.
The main focus of the minisymposium is on the computational challenges facing the modern developments and to highlight recent advances on modeling and computation in quantitative finance. The minisymposium will contain talks presenting current state of the art of research in topics including, but not limited to, computation of derivative securities in high dimensions, stochastic volatility, transaction costs, regime switching, credit risks, jumps, and exotic options using PDE and Monte Carlo approaches which provide powerful tools and consistent frameworks for pricing and hedging complex derivatives.
Luis OrtizGracia,Universitat de Barcelona, Spain (luis.ortizgracia@ub.edu)
Iñigo Arregui, Universidade da Coruña, Spain(arregui@udc.es)
This minisymposium aims to offer a forum for discussion the interaction between educational methodologies and new technologies. Undoubtedly the use of new technologies has increased enormously the number of possibilities and teaching resources that professionals have at their disposal. Tools such as the digital briefcase, educational webs or the universally used social networks that only a few years ago were unthinkable, are nowadays usual and widely extended in education. However the use of these resources has also produced a great increasing in development of new tools and strategies giving rise to interesting technical developments and tools that enhance teaching and learning taks.
Topics in this mini symposium include, but are not limited to:
Currently, the research in the field of flows modeling of particles with motivated behavior on complex network is actively developing. The activity in this field is caused on the one hand by the the importance of such research for the applied areas connected with human safety (traffic flows, pedestrian flows, ecology, etc.), on the other hand, with new technical facilities of obtaining actual data due to rapid development of hardware and algorithms in information technologies . As the Ninth International Conference on Traffic and Granular Flow 2011 held in Moscow showed, there is a need for collaboration of mathematicians and physicists in this area for purpose of solving of fundamental problems on modeling of these complex sociotechnical systems. There is currently very required the development of exact mathematical formulation of problems for modeling of particles dynamics with motivated behaviour and information on networks and also in the strict analytical results peculiar to exact natural sciences. Novel means of intelligent monitoring, more than 80 years history of development of traffic flow theory and the scientific potential of world scientific community, multiplied by the increasing urgency of a subject “a man and a nature”, allow to count on fruitfulness of collective interaction.
The minisymposium is organized by:
Optimization is an important tool in decision making and in the analysis of physical systems.
Linear and Nonlinear Optimization Session emphasizes modeling, theory, study of computational algorithms and applications for linear and nonlinear optimization.
This symposium aims to illustrate some recent optimization techniques, by presenting efficient methods to solve different type of optimization problems. Practical applications in engineering, economics, finance, biology and other sciences are welcome.
The minisymposium is organized by:
Different problems in science and engineering involve the solution of nonlinear equations (the study of dynamical models of chemical reactors, radioactive transfer, preliminary orbit determination, discretization of integral or partial differential equations, etc). Iterative methods play an important role in order to obtain approximated solutions of these kinds of problems.
During the last years, numerous papers devoted to the mentioned iterative methods have appeared in several journals. The existence of an extensive literature on these iterative methods reveals that this topic is a dynamic branch of the numerical studies with interesting and promising applications.
The aim of this session is to share new trends in the field of iterative methods fornonlinear problems.
Specific topics of interest include (but are not limited to):
This minisymposium is organized by:
This symposium has both theoretical and practical applications and will cover reserach topics in:
This minisymposium is organized by:
Fundamental mathematical tools need to be developed in order to model interesting problems arisen in Computer Science.
The purpose of this Special Session is to provide an international forum for presentation of recent results and advances in these important tools.
The not exhaustive list of topics includes:
 General operators useful in Computer Science
 Aggregation functions
 Aggregations for extensions of fuzzy sets
 Fuzzy sets and fuzzy logic
 Logic programming
 Rough sets
 Fuzzy rough sets
 Intervalvalued fuzzy sets
 Formal concept analysis
 Fuzzy measures and integrals
Jesús Medina,University of Cádiz, Spain (jesus.medina@uca.es)
Manuel OjedaAciego, University of Málaga, Spain(aciego@ctima.uma.es)
Clusters often display structural and electronic properties that are very different from those of the bulk. Their properties can vary greatly in going from the smallest clusters of a few atoms to large sizes at the nanoscale. Obtaining a consistent description of the transition from small clusters to the liquid or solid state is a major challenge in computational chemistry and physics and will be addressed in this minisymposium.
Organizers
Prof. Ian Hamilton, Wilfrid Laurier University, Canada.  ihamilton@wlu.ca
Peter Schwerdtfeger  University in Auckland, New Zealand  p.a.schwerdtfeger@massey.ac.nz
Ottorino Ori  Actinium Chemical Research, Rome (Italy)  ottorino.ori@gmail.com
Istvan Laszlo  Budapest University of Technology and Economics (Hungary)
The session is dedicated to Wolfgang Sproessig on the occasion of his 70th birthday and his contributions to the development of new methods for modeling and solving of boundary value problems in mathematical physics.
Hypercomplex methods are based on a theory of functions defined in higher dimensional Euclidean spaces with values in Clifford algebras in combination with geometric and other approaches. These function theories can be seen as extensions of the complex function theory to higher dimensions and at the same time hypercomplex methods are often understood as a refinement of harmonic analysis. These approaches are leading also to new numerical and computational tools.
We invite Scientists and Engineers working with hypercomplex algebras (quaternions, bicomplex numbers, Clifford algebras, etc.) and their applications to boundary value problems in mathematical physics, fluid mechanics, elasticity theory and other related fields. Furthermore, contributions to special topics in Fourier analysis, signal processing, interpolation and approximation, monogenic function theory, applications of geometric algebras, representation theoretic tools etc. are very welcome.
Organizers
Due to its possible applications, Fixed Point Theory in metric spaces has a key role in Nonlinear Analysis. In the last fifty years, discussing the existence and uniqueness of fixed points of single and multivalued operators in different kind of spaces (such as quasimetric spaces, pseudoquasimetric spaces, partial metric spaces, bmetric spaces and fuzzy metric spaces, among others) has attracted the attention of several researchers in the field of Nonlinear Analysis. The enormous potential of its applications to almost all quantitative sciences (such as Mathematics, Engineering, Chemistry, Biology, Economics, Computer Science, and other sciences) justify the great interest in this area.
The purpose of this workshop is to bring together Mathematicians, and also all researchers which might be interested in this topic, a forum to present, to share and to discuss their main advances in this area (ideas, techniques, possible results, proofs, etc.)
Topics in this mini symposium include, but are not limited to:
This special sessions is organized by:
This special session will emphasize research in industrial mathematics. The session aims to provide an overview of mathematical and computational research focusing on corporate or government applications and problems arising from different economic sectors. Many research groups have contacts with industry, and participants will benefit from open exchange of problems and solutions.
Mathematicians and physicists believe that explanation and prediction of fluid flows can be made through an understanding of solutions to the NavierStokes equations. The analytical solutions of the NavierStokes equations are currently unavailable. Instead, we use the numerical solutions of NavierStokes equations to analyse and make predictions for fluid flow. Therefore, the research on computational methods for evaluating numerical solutions of mathematical models for fluid flow is very important. This session is to bring together scientists and engineers in the field of computational methods for fluid flow and provide a forum for discussion of current problems and recent advances in the area.
Specific topics of interest include (but are not limited to):
This session is organized by:
Patterns are omnipresent in animate and inanimate systems. Although these systems are quite diverse, they often display common features such as patterns. Along with it came the need for a fundamental understanding of processes in the pattern formation. Therefore, there is currently considerable interest in the study of pattern formation in spatially extended systems. Systems from a wide range of biological, ecological, geophysical, physical and material sciences are studied, making pattern formation an interdisciplinary topic.
This session welcomes original contributions in a wide variety of topics related to pattern formation in animate and inanimate, patterns stationary, travelling or disordered in both space and time. Review papers presenting the state of the art of a research area and pointing out new directions for further research are also welcome.
This session is organized by:
Fractal and fractional derivatives are playing fundamental roles in various applications in Science and Engineering practices. In particular, we have paid attention to applicability of the present research fields in the various branches of pure and applied mathematics. There are many unsolved problems in the mathematical analysis, mathematical physics, mathematical chemistry, theoretical and applied physics as quantum mechanics, signal processes, nonlinear dynamics and related fields of the computational science, bioscience and economics involving fractal and fractional calculus. This Special Session will also be an opportunity for extending the research fields of fractal and fractional dynamics in all aspects of the theoretical and practical studies of Mathematics, Physics, and Engineering.
The main topics of this Special Session include (but are not limited to):
This session is organized by:
Boundary value problems composed by differential equations, difference equations, or equations on time scales, and some conditions on the boundary have emerged naturally from various fields of science. Given the diversity of applications and the variety of problems (nonlinear, nonlocal, functional, ...) that they cover they have received great attention of the international mathematical community. As a result of that, there is a wide range of methods and techniques that have been used to approach them.
The aim of this Special Session is therefore to present and discuss new trends in related fields such as variational methods (critical point theory, linking theorems, minmax geometry ...), and topological methods (fixed points theory, lower and upper solutions, topological degree,...).
The presented results may cover various forms of qualitative data of solutions, existence, uniqueness, multiplicity,..., in either a theoretical or applied perspective.
Topics in this Special Session include, but are not limited to:
This session is organized by:
Theory and application of estimation and control for dynamic stochastic systems constitute an interesting research topic, which has experienced a great progress over the last few years, and still there are a great number of unexplored challenging problems related to this field. The aim of this special session is to discuss the most recent advances and latest approaches of all topics within the broad interface of the fundamental and applications of estimation and control for stochastic systems. In other words, this session aims to be a forum where researchers in this area of research expertise can exchange problems and solutions, from both theoretical and application sides.
Potential topics include (but are not limited to):
This special session is organized by:
Advances in the study of numerical methods and software capabilities are leading to new challenges in computing and mechanical system modelling. The session should cover the use (and development) of numerical methods in mathematics and mechanical science including constitutive modelling for solid and structural mechanics, multibody system dynamics and equations of motion, structural and nonlinear control and modern vibrational methods. Contributions to novel and efficient numerical algorithms for different mechanical tasks and nonstandard engineering problems are welcomed.
This special session is organized by:
Bioinformatics is both an umbrella term for the body of biological studies that use computer programming as part of their methodology, as well as a reference to specific analysis "pipelines" that are repeatedly used, particularly in the field of genomics. Common uses of bioinformatics include the identification of candidate genes and nucleotides (SNPs). Often, such identification is made with the aim of better understanding the genetic basis of disease, unique adaptations, desirable properties (esp. in agricultural species), or differences between populations. In a less formal way, bioinformatics also tries to understand the organisational principles within nucleic acid and protein sequences, called proteomics. Machine Learning (ML) techniques are increasingly being used to address problems in bioinformatics and computational biology. ML based methods (e.g., support vector machines, neural networks, markov models, graphical models) have been successful in analysing life science data due to their capabilities in handling randomness and uncertainty of data noise and in generalization.
The goal of this session is to bring together professionals, researchers, and practitioners in the area of bioinformatics to present, discuss, and share the latest findings in the field, and exchange ideas that address realworld problems with realworld solutions.
The special session opens to everybody as well as industrial partners to make contribution in this area. Topics for this session include, but are not limited to:
This special session is organized by:
The special session is directed to mathematicians and computer scientists who have a particular interest in the applications and numerical treatment of algebraic curves and surfaces (implicitly or parametrically defined).
More precisely, some important problems for curves and surfaces as for instance, parametrization, reparametrization or implicitizing, have widely been discussed from the symbolic point of view. In consequence of this development, symbolic algorithms have been used in some applications like, for instance in computer aided geometric design, providing exact answers when dealing with algorithmic questions on mathematical entities exactly given. This type of contributions is important since they provide effective algorithmic solutions to applied problem.
Nevertheless, in many practical applications, these symbolic approaches tend to be insufficient, since in practice most of data objects are given or become approximate. This fact implies that intrinsic mathematical properties of the original object may fail. This phenomenon has motivated an increasing interest of the research community, working on computational algebra and computational algebraic geometry, for the development of approximate algorithms; that is, algorithms that deal symbolically with mathematical inputs, that have suffered a modification.
Therefore, this special session is intended to facilitate communication between researchers who are addressing fundamental numerical algorithmic issues in the treatment of curves and surfaces (from the symbolic and also from the numeric point of view).
This special session is organized by:
Statistical methodologies have been changing and new procedures have been arising in the last years. These new methodologies take advantage of the increasing computer power available in our days, and try to solve new challenges related, for example, with big data or high dimensional scenarios which appear in a wide variety of applied fields such as economics, medicine, biology and natural sciences. Some of these new techniques are an interesting and powerful combination of new results in distribution theory, inference and advanced computational techniques.
This session will focus on theoretical, applied or computational techniques, which separately or in combination, have made new and breakthrough contributions to a broad spectrum of statistical techniques and aims at highlighting these recent important methodologies.
The main topics covered are:
This special session is organized by:
NonNewtonian Calculus (NNC), also called Bigeometric Calculus or Multiplicative Calculus, has been increasing its development through the recoding of the multiplicative world (from the point of view of the standard calculation) as an essentially linear domain, and therein lies the nucleus of importance. Many advances and applications in science, engineering and mathematics are appearing more frequently.
This mini symposium will be one of the first international meetings of a dispersed scientific community that has worked or is working on this topic and annoting a mark in the history of the NNC. Taking into account the novelty of the subject, all topics related to NNC (theory and applications) are welcome.
This special session is organized by:
The determination of effective physical properties of heterogeneous materials obtained by mixing different phases, usually on a very small scale is a widely studied problem in the physical sciences. Motivation comes from a number of areas, e.g. prediction of the overall behavior of ceramics and superconducting fibrereinforced or layered materials. Predicting exact fields is difficult due to the size of the microstructure. A number of different techniques have been devised to determine effective properties in both elasticity and conductivity contexts. Homogenization and micromechanic are some of them.
This special session is organized by:
The increasing frequency and severity of natural and humancaused disasters affects stability, growth, and prosperity of an economy as well as the well being of society. These disasters are more significant when they are unexpected and uncertain. Regardless of whether this uncertainty has a random nature or is associated with inaccuracy in predictions, the consequences are costly and unavoidable. Minimizing the loss and costs of events or disasters is an ambition of both public and private decision makers and planners. Mathematical simulation and modelling disaster processes is the main procedure in forecasting or warning, as well as in impact assessment. The aim of this session is to present the new mathematical models of forest fires and environmental pollution. Considering that, experimental research of these problems is very expensive or sometimes impossible; methods of mathematical modeling are used in these cases. There are mainly two categories of numerical modelling activities related to disaster mitigation. One is the simulation of the phenomena itself, that can be used in scenario analysis to identify risk and the other is to forecast the future state of an extreme event currently taking place. Due to limitation of computational power and data availability, simulations are generally carried out at a scale much coarser than that is applicable in the day to day life.
This special session is organized by:
The aim of this session is to provide an opportunity for researchers to meet and discuss recent progresses in the analysis and computational simulation of nonlinear problems arising in the sciences, engineering and economics. Both the determination of the qualitative features of solutions of nonlinear models and the analysis of numerical methods to approximate their solutions are of special interest. Papers that study the existence and uniqueness of solutions of nonlinear partial differential equations, systems as well as relevant features of solution spaces are especially welcome. Works which emphasize the rigorous analysis of computational techniques to simulate the dynamics of complex models in the sciences, engineering and economics are solicited for this special session.
The session will not make emphasis on particular mathematical modeling of nonlinear problems, but rather on the investigation of analytical features of the solutions of underlying problems and the analysis of approximation techniques to simulate them. Both deterministic and stochastic models arising in science, engineering and economics are considered, and pertinent applications to the resolution of practical problems are expected.
Topics in this session include (but are not limited to):
This special session is organized by:
Control and estimation for Cyberphysical and distributed parameter systems are equally challenging problems due to their complexity as well as due to the potential for using the associated solutions into a large number of applications.
The term “Cyberphysical systems” implies the interaction of the controlled systems with a networked environment and a communication infrastructure. Thus network controlled systems are a typical case of Cyberphysical systems. In such systems the computation of a feedback control action can be based on the processing of sensory information that is collected over a sensors network. Moreover, the actuators and the information processing units for such control systems can be remotely placed and can exchange data in real time over a communication network, As a result, implementation of control and estimation for cyberphysical systems has to consider tasks as the compensation of time delays, intermittent data transmission and disturbances in the transfer of sensor and actuators data. Indicative cyberphysical systems are met in several networked control schemes associated with power generation systems, industrial robotics, intelligent transportation systems, biosystems or socioeconomic systems.
The term “Distributed parameter systems” implies systems that evolve simultaneously both along the time axis and along spatial dimensions, thus exhibiting spatiotemporal dynamics. On the one side one can have spatially distributed systems described by multiple nonlinear ordinary differential equations, each one being valid at a specific area of the statespace. In such a case one arrives at multimodel descriptions where local solutions for the control and estimation problems associated with the individual models have to be combined in a manner that assures global stability and convergence. On the other side one can have systems described by partial differential equations. In such a case, and after following semidiscretization and the finite differences scheme one can decompose the partial differential equation into an equivalent set of coupled nonlinear ordinary differential equations, So again one returns to the previously defined problem of control and estimation for multimodel spatially distributed systems. Typical examples of distributed parameter systems are distributed power generation systems, distributed robotic systems, transportation systems as well as Biosystems and socioeconomic systems.
From the previous analysis it can be concluded that Cyberphysical systems and Distributed parameter systems have common features characterizing their functioning. Moreover, in several cases Cyberphysical systems are also Distributed parameter systems and inversely. Therefore, in many occasions, the handling of control and estimation problems for such systems requires the use of a common theoretical background, and the application of common methodologies. The objective of the present special session is to process such problems in a unified manner and to propose generic and widely applicable solutions for the various forms such systems can have.
Representative topics of interest for this special session are:
This special session is organized by:
Rank structured matrices are an emerging field of research in numerical linear algebra with an extremely broad area of possible applications including integral and differential equations, polynomial rootfinding, matrix equations, structured eigenvalue problems, system and control theory. In this minysimposium we present some recent theoretical and computational advances concerning the numerical treatment of rank structured matrices and their applications.
This special session is organized by:
In the last decades, the research field computational intelligence methods have drawn the attention of many researchers due to its promising and challenging research topics. In addition, it covers a wide range of applications: transportation problems, health care, scheduling, data analysis and clustering, reliability engineering, etc. The aim of this session is to share new trends in the field of computational intelligence methods.
Specific topics of interest include (but are not limited to):
This special session is organized by:
This session is devoted to the resent results in the nonlinear wave theory. We pay a particular attention to the following topics.
This session is organized by:
The mechanics of steady boundary layer separation was initially introduced by L Prandtl in (1904), describing several experiments in which boundary layer was controlled, suction was employed to delay boundary layer separation. During the 50s and 60s extensive research of active flow control was undertaken; generally suction was used to delay transition. During the 90s new flow control challenges aroused based on the need to reduce emissions, decrease aerodynamic noise and increase fast aeroplanes manoeuvrability. On the 21st century, flow control applications are extended to road vehicles, windmills, turbines, passenger aeroplanes, combustion chambers etc. In fact, two main fields of interest need to be considered. In the former, fluid performance is evaluated, aspects such as, boundary layer instabilities, incoming and injected/sucked fluid interaction as well as downstream vortex shedding fall into this category. In the later, new methodologies to activate the boundary layer in order to modify the body macroscopic values are investigated. Devices able to implement periodic forcing, like synthetic jets and fluidic amplifiers, and new technologies based on plasma actuation, appear to require further research to master their application while employing the minimum possible energy. In the present session, papers related to any active/passive flow control application would be welcome. Research undertaken on the different devices capable of interacting with the fluid boundary layer, shall as well find its place in the present conference session. The aim is to put together new research developments to further push Flow Control understanding and applications.
Topics related to this session include, although not limited to.
Session organizers and affiliation:
Mathematical modelling of a large variety of engineering applications gives raise to the solution of linear and non linear systems of equations as well as eigenvalue problems. The matrices involved are often sparse and of very large size.
Development of linear algebra kernels is therefore crucial to efficiently address such problems both in sequential and parallel environments.
The main purpose of this minisymposium is to collect the most recent improvements in iterative and/or direct methods for the solution of the above mentioned linear algebra problems which arise e.g. from the discretization of Partial Differential Equations as well as optimization problems.
Topics in this mini symposium include, but are not limited to:
The session is organized by:
Education has changed along the years and new ICTbased teaching methods have gained visibility during the last two decades. Moreover, several online Universities have appeared in the last years and they are becoming more popular every day. As an example, just in Spain during the course 2013/2014, there were more than 220.000 online studies. This kind on online education is a new step in the evolution of Education but it needs new methodologies and different programs and tools to be developed. This fact is also affecting to primary and secondary education since teachers have to prepare young students to the new technologies. In the recent years, several programming languages and even different kind of robots for kids have been developed in order to allow them to learn this skills in an easier way.
Topics in this mini symposium include, but are not limited to:
The session is organized by:
These methods are very flexible numerical tools that have undergone substantial development since the mid 1990s. The aim of this session is to provide an opportunity for researchers to discuss recent progresses in the analysis of meshless methods and applications.
While contributions in all aspects of meshless methods are invited, some of the key topics to be featured are :
Successful discussions providing answers to the problems mentioned here, is the main objective of this special session.
This special session is organized by:
Even though this minisymposium is designed to focus on mostly multivariate problems encountered in science and engineering, univariate approaches are also welcome as long as they have expandabilities to multivariate cases or they give such impressions. Even though the following topics are at the foci of this minisymposium the other topics can also be accepted as long as the authors of the papers in those topics explain why they find their works fitting to this symposium:
Minisymposium organized by:
Many real world problems are modelled by physically and mathematically interesting nonlinear differential equations which arise in various scientific fields such as economics, biology, fluid dynamics, physics, engineering, control theory, materials science, quantum mechanics, and in industry. The aim of this special session will be to report on recent developments in Lie symmetry analysis and conservation laws for solving such nonlinear differential equations. We are interested in highquality presentations that contain original research results. The work presented in this session will form a base for a forum that provides services for graduate students, post docs, and researchers in their applications of nonlinear differential equations.
Organizers:
Statistical modeling is a research in constant evolution. It involves new challenges arising from the real data which can turn up from a wide variety of applied fields The statistical techniques belonging to this topic take advantage of new results in distribution theory, inference and computing software. This session will focus on new theoretical steps on statistical modeling and on its applications.
Organizers:
All topics in orthogonal polynomials and applications and all related issues and their use in solving real life problems will be covered.
Inparticular, papers on the following subjects are covered:
Organizers:
The last decades have witnessed birth of a new interdisciplinary field of science under the name of Network Science. Many realworld phenomena can be modelled as networks where a number of individuals interact over a complex networked structure. This special session covers topics related to complex networks including but not limited to:
Organizers:
Data collected on Science and Engineering applications such as Biology, Bioinformatics, Finance, Internet of Things services are generally used to build ne models to simulate the real world. The main aim goal of this minisymposium will be to approach and discuss recent trends in data analysis, forecast and modelling focusing on the numerical aspects and computational approaches for analysis and the classication of large data sets. Novel methods, numerical models and ecient and reliable algorithmic strategies belonging to the family of clustering and genetic algorithms, neural networking and stochastic approaches will be analysed. More specically, we are interested in the emerging techniques for dataanalysis addressed to relevant realworld applications, in order to share ideas, experiences and research results. The topics include, but are not limited to, problems related to Signal Processing, Multivariate Analysis and Classication, Distributed Computing for eHealth, Machine Learning in Social Systems, Stochastic and Probabilistic methods, Optimization technique.
Organizers:
Organizers:
The theory of a free boundary problems have received remarkable development in both pure and applied mathematics as well as in mechanics, engineering sciences and economics. This theory has been a key feature in the understanding and solution of many practical problem such as market price equilibria, heat control, elastic contact. Free boundary problems have been the object of intensive study during the last three decades. However, very much remains to be done on the numerical analysis side, especially error estimates and asymptotic behavior and a posteriori error estimates for stationary and evolutionary free boundary problem using di¤erent numerical analysis methods such as the Schwarz alternating method, Galerkin methods (including nite elements and spectral methods) and so on.
Research in the fascinating area of free boundary problems which include the stationary and evolutionary variational, quasivariational inequalities, and HamiltonJacobiBellman equations. Moreover, including many surprising applications and new contributions, has been described in a great number of published papers and monographs. This development has almost exploded during the last few years. The main aim of this spatial issue is to present new results and recent developments within this fascinating area.
This special session will consider strictly strong papers resulted from the both theoretical and computational view of a free boundary problems which include the stationary and evolutionary variational, quasivariational inequalities, and HamiltonJacobiBellman. . We also encourage young PhD students who were get new contributions well supervised and guided by their supervisors to submit their papers to this special session. Please note that submitted contributions should be explicitly meeting with the Aims and Scope Conference.
Organizers:
Time series are present in many common situations in life. For such reason, there is a great effort on research of this topic. Sometimes time series are treated directly as raw data using mathematical methods to obtain information from then. But, other approaches develop mathematical models to represent then. Time series are modelled to find patterns and/or to study trends in the series. These representations allow to find patterns and trends. Another relevant line of research is the description of the series using natural language. The aim of this special session is to provide an international forum the presentation of recent results in the research of this field.
The not exhaustive list of topics includes:
This Special Session is organized by:
This symposium aims at joining the contemporary innovations about data mining and the related area of data engineering. Therefore, the presentation of works tackling theoretical issues and applications on data analytics is welcomed. The problem complexity is increasing and there is a wide variety of approaches to cope with it. A number of factors may also be considered for the suitable choice of a concrete machine learning model.
The topics of interest for this session include, but are not limited to:
Organizers:
This minisymposium goals to collect contemporary approaches in the context of metaheuristics focusing on applications in real problems or simulated scenarios as a first step. It is very common in science and engineering the necessity of getting an approximated solution in a reasonable amount of time.
The topics of interest for this minisymposium include, but are not limited to:
Organizers:
The thematic network ALAMA (Linear Algebra, Matrix Analysis and Applications) aims to bring together scientists whose research is related to Linear Algebra, Matrix Analysis, Matrix Theory and/or its applications in diverse contexts.
It pursues to cover a broad spectrum of interests, including purely algebraic or analytical aspects, as well as numerical, combinatorial, geometric, probabilistic, didactic or historical aspects, without neglecting the applications of Linear Algebra in areas such as (but not restricted to) the Theory of Control, Cryptology and Code Theory, Graph Theory, Structural Mechanics, Signal and Image Processing, or Data Mining.
Topics:
The session is organized by:
Mathematical modelling of a large variety of engineering applications gives raise to the solution of linear and non linear systems of equations as well as eigenvalue problems. The matrices involved are often sparse and of very large size.
Development of linear algebra kernels is therefore crucial to efficiently address such problems in both sequential and parallel environments.
The main purpose of this minisymposium is to collect the most recent improvements in iterative and/or direct methods for the solution of the above mentioned linear algebra problems which arise e.g. from the discretization of Partial Differential Equations as well as optimization problems.
Topics in this mini symposium include, but are not limited to:
The session is organized by:
Difference, differential and integral equations governing real phenomena often contain some mathematical terms (e.g. initial/boundary condition, source term, coefficients), referred to as model parameters, that characterize physical features of the problem and its environment. In practice, these terms must be determined from sampling and/or experimentally. Hence, they contain errors coming from different sources such as the lack of accuracy in sampling and/or measurements and the inherent uncertainty usually met in complex physical phenomena. In that case, it is more convenient to treat constants and functions playing the role of model parameters as random variables and stochastic processes, respectively. This approach leads to the area of Random Equations whose main objective is to extend the results of its classical or deterministic counterpart. As difference, differential and integral equations play a main role when modelling real problems, also it is a major objective to identify, quantify and reduce uncertainties associated with models, numerical algorithms, experiments and predicted outcomes of quantities of interest.
The aim of this mini symposium is to create a meeting forum where fresh and novel ideas related to uncertainty quantification in mathematical models can be presented and discussed.
Topics in this mini symposium include, but are not limited to:
The session is organized by:
Regular Sessions:
 Interpolation & Approximation
 Mathematical Modeling and Computational PDE
 Mathematics Models for Computer Science
 Optimization
 Analytical and Numerical solution of Differential Equations
 Computational Algebra
 Computational aspects of Dynamical Systems
 Computational Chemistry
 Computational Physics
 Computational Engeneering.
 Computational Statistics.
 Numerical Linear Algebra.
Besides these sessions there will be a general session. If you are unsure of where to include your article please put it in the general session.