The goal of the conference is to bring together active researchers from the various disciplines to showcase their state-of-the-art research results and hopefully to forge new cross-disciplinary interactions among the participants. The premiere Computational Mathematics, Statistics and Operational Research (CMSOR) Conference 2019 provides a unique opportunity for in-depth technical discussions and exchange of ideas in mathematical and computational sciences, as well as explores the potential of their applications in natural and social sciences, engineering and technology and industry and finance. To explore possible avenues to foster academic and student exchange, as well as scientific activities.
Research papers / topics dealing with fundamental research and applications of Computational Mathematics, Statistics and Operational Research (CMSOR) including but not limited to:
Applied Mathematics & Statistics• Bioinformatics • Engineering Mathematics • Demography • Operation Research • Logistics Management • Risk Management
Applied Mathematics & Modeling• Computational Methods • Ordinary & Partial Differential Equations • Mathematics Modelling & Optimization • BioMathematics • Data Analysis
Analysis & Its Applications• Approximation Theory & Its Applications • Ergodic Theory • Sequence Spaces & Summability • Fixed Point Theory • Functional Analysis & It’s Applications
Applied Algebra & Its Applications• Information Theory & Error Correcting Codes • Cryptography • Combinatorics & Its Application • Cellular Automata • Computational Algebra • Computational Group Theory
Geometry & Its Applications• Geometry & Its Application • Differential Geometry • Kinematics
Algebraic Statictics & Its Applications• Algebraic Statistics & Its Applications • Probability & Statistics Applications • Algebra & Mathematical Logic • Algebraic Geometry • Analysis • Operator Algebra • Functional Analysis • Lie Groups • Lie Algebras • Ordinary Differential Equation• Dynamic System • Topology • Geometry and Topology • Mathematical Computer Sciences • Mathematical Methods in Continuum Mechanics • Number Theory • Control Theory • Optimization • Numerical Analysis • Science Computing • Statistics • Probability Theory & Mathematical Statistics • Stochastics Process • Mathematical Actuary • Splines & wavelets with applications • Computer Graphics & Differential Equations • Applied Problems & Methods in Research & Education • Financial Mathematics & Computation • Mathematical Modeling in Environmental Sciences &Models for Complex Media • Mathematics & Computation in Biological Sciences and Medicine • Computational Mechanics & Engineering • Big Data • Deep Learning
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