Hoboken (NJ): John Wiley & Sons, 2020. - 466 p. - ISBN 1119585503.
Brings mathematics to bear on your real-world, scientific problemsMathematical Methods in Interdisciplinary Sciences provides a practical and usable framework for bringing a mathematical approach to modelling
real-life scientific and technological problems. The collection of chapters
Dr. Snehashish Chakraverty has provided describe in detail how to bring
mathematics, statistics, and computational methods to the fore to solve even the most stubborn problems involving the intersection of
multiple fields of study.
Graduate students, postgraduate students, researchers, and professors will all benefit significantly from the author's clear approach to applied mathematics.
The book covers a wide range of
interdisciplinary topics in which mathematics can be brought to bear on
challenging problems requiring creative solutions. Subjects include:
Structural static and vibration problems.
Heat conduction and diffusion problems.
Fluid dynamics problems.
The book also covers topics as diverse as soft computing and
machine intelligence. It concludes with examinations of various fields of application, like infectious diseases, autonomous car and monotone inclusion problems.
Notes on Contributors.
Connectionist Learning Models for Application Problems Involving Differential
and Integral Equations.
Deep Learning in Population Genetics: Prediction and Explanation of Selection
of a Population.
A Survey of Classification Techniques in Speech Emotion Recognition.
Mathematical Methods in Deep Learning.
Multimodal Data Representation and Processing Based on Algebraic System of
Aggregates.
Nonprobabilistic Analysis of Thermal and Chemical Diffusion Problems with Uncertain
Bounded Parameters.
Arbitrary Order Differential Equations with Fuzzy Parameters.
Fluid Dynamics Problems in Uncertain Environment.
Fuzzy Rough Set Theory-Based Feature Selection: A Review.
Universal Intervals: Towards a Dependency-Aware Interval Algebra.
Affine-Contractor Approach to Handle Nonlinear Dynamical Problems in Uncertain
Environment.
Dynamic Behavior of Nanobeam Using Strain Gradient Model.
Structural Static and Vibration Problems.
Generalized Differential and Integral Quadrature: Theory and Applications.
Brain Activity Reconstruction by Finding a Source Parameter in an Inverse Problem.
Optimal Resource Allocation in Controlling Infectious Diseases.
Artificial Intelligence and Autonomous Car.
Different Techniques to Solve Monotone Inclusion Problems.
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