IWMST-2017, International Workshop on Mathematics and Statistics

International Workshop on Mathematics and Statistics is a peer reviewed academic event held by Scientific Cooperations. The workshop is a part of International Conference on Basic Sciences which consists of three separate workshops on different disciplines. IWMST-2017 aims to increase the collaboration among researchers and practitioners with a common interest in Mathematics and Statistics through scientific publications.

All the papers are peer reviewed. The conference papers will be published in conference proceedings.

• Applied Mathematics
• Biomathematics
• Financial Engineering/Financial Mathematics/Quantitative Finance
• Formalization Of Mathematics
• Foundation Of Mathematics
• Mathematics
• Mathematical Software Design And Implementation
• Mathematical Modeling
• Mathematical Physics
• Pure Mathematics

• Applied Statistics
• Biostatistics And Bioinformatics
• Business Statistics
• Computational Statistics
• Data Mining
• Econometrics
• Environmental Statistics
• Industrial Statistics
• Industrial Quality Control
• Mathematical Statistics
• Modeling And Simulation
• Operations Research
• Probability
• Quantitative Methods

• Numerical Analysis
• Mathematical Computational Techniques
• Fluid Mechanics
• Heat And Mass Transfer
• Differential Equations (ODEs And PDEs)
• Mathematical Physics
• Dynamical System & Chaos
• Educational Mathematics

• Banach Algebras
• Abstract Harmonic Analysis
• Geometry Of Banach Spaces
• Algebra & Mathematical Logic
• Functional Analysis
• Set Theory
• Matrix Theory
• Approximation Theory

• Number Theory
• Pplied Algebra
• Cryptography
• Group Theory

• Arithmetical Algebraic Geometry
• Arakelov Geometry
• Mixed Tate Motives
• P-Adic Methods In Arithmetical Algebraic Geometry
• Ramification Theory Of Arithmetic Varieties

• Algebraic Number Theory
• Rings Of Algebraic Integers
• Analytic Number Theory
• Sieve Theory, Automorphic Forms, Distribution Statistics
• Diophantine Approximation, Asymptotic Group Theory
• Arithmetic Algebraic Geometry
• Iwasawa Theory Of Galois Representations And Their Deformations
• Equivariant Tamagawa Number Conjecture
• Euler And Kolyvagin System

• Combinatorial Design Theory
• Metamorphosis, Embeddings, Intersections, Defining Sets, And Trades Of Designs
• Graph Theory, In Particular Decompositions
• Combinatorial Design Theory
• Combinatorial Computing
• Search Algorithms For Designs With Given Properties
• Random Graphs, In Particular Random Proximity Catch Graphs And Digraphs

• Partial Differential Equations
• Nonlinear Problems Of Mathematical Physics
• Dissipative Dynamical Systems
• Scattering Of Classical And Quantum Waves
• Wavelet Analysis
• Molecular Dynamics

• Differential Geometric, Topologic, And Algebraic Methods Used In Quantum Mechanics
• Geometric Phases And Dynamical Invariants
• Supersymmetry And Its Generalizations
• Pseudo - Hermitian Quantum Mechanics
• Quantum Cosmology

• Mathematics Of Finance
• Stochastic Flows And Random Velocity Fields
• Epidemic Protocols
• Data Traffic

• Geometry
• Topology
• Algebraic Geometry
• Game Theory
• Differential Geometry
• Fractals
• Topology Of Low-Dimensional Manifolds
• Lefschetz Fibrations
• Symplectic And Contact Structures
• Stein Fillings
• Low Dimensional Topology
• Symplectic Topology And Geometry
• Seiberg - Witten Theory
• Floer Homology
• Topology Of 3-Manifolds
• Minimal Surfaces
• Foliation And Lamination Theory
• Hyperbolic Geometry

• Stochastic Systems
• Statistics
• Operations Research
• Optimization
• Linear And Nonlinear Programming
• Probability
• Financial Mathematics
• Acturial Mathematics
• Inference On Random Graphs
• Graph Theory
• Statistics
• Classification And Pattern Recognition
• Numeric Analysis
• Numerical Linear Algebra
• Numerical Optimization
• Perturbation Theory Of Eigenvalues
• Eigenvalue Optimization
• Robust And Nonparametric Multivariate Statistics
• Robust Time Series Analysis
• Linear And Generalized Linear Models
• Statistical Computing, Graphics And Data Mining
• Statistical Inference Based On Divergence Measures