MCMST - Overview - Ada Lovelace Labs

International Journal of Mathematics and Computational Methods in Science & Technology (MCMST) is a peer-reviewed, interdisciplinary, fully referred Journal publishing high quality, scholarly, academic and professional arti-cles quarterly in the year. The Journal focuses on theories, methods and applications in the discipline and demonstrates their relevance to Science, Engineering and Industry.

The main aim of the Journal (MCMST) is to publish well written original, highly creative articles and studies that de-scribe the latest research and developments in the area of Mathematics and Computational Science. This is the broad-based Journal Covering all branches of Mathematics, Computations and Interdisciplinary research.

This International Journal provides a platform for the researchers and educators, theoreticians and practitioners, scien-tists and engineers, Graduates and Post graduates/young researchers, particularly interested in improving the exchange of the concepts, research ideas and other results, which may contribute to the academic arena, business, and the indus-trial community.

Articles published in MCMST covers wide range of topics but not limited to:

Mathematics and Mathematical Sciences:

Computational Algebra and Number Theory, Complex Variables and Functions ,Computational Discrete Mathematics,Computational Graphs and Algebra, Problem Solving Environments, Advanced Numerical Algorithms, Numerical Computation, Numerical Functional Analysis, Numerical Linear Algebra, Numerical Optimisation, Applied Dynami-cal Systems, Complex Adaptive Systems.

Applications of Computation as a Scientific Paradigm:

Fuzzy Logic and Systems, High Performance Modeling and Simulation, Computational Neural Science and Engineer-ing, Complex Systems: Modeling and Simulation, Advanced Computing Architectures and New Programming Models, Parallel and Distributed Computing, Probability Theory and Mathematical Statistics, Visualisation for High Per-formance Computing, Visualization and Virtual Reality as Applied to Computational Science, Web- and Grid-based Simulation and Computing .

Industrial and Interdisciplinary Mathematics:

Industrial Mathematics and Operational Management, Mathematical Modeling and Fluid Dynamics, Stochastic Proc-ess, Coding Theory and Mathematical Logic, Parallel Computing, Artificial Intelligence and Combinatorial Mathe-matics, Game Theory, Formal Methods, Computational Biology.

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