Mathematical Methods in Interdisciplinary Sciences
eBook - ePub

Mathematical Methods in Interdisciplinary Sciences

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Mathematical Methods in Interdisciplinary Sciences

About this book

Brings mathematics to bear on your real-world, scientific problems

Mathematical 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.

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Yes, you can access Mathematical Methods in Interdisciplinary Sciences by Snehashish Chakraverty in PDF and/or ePUB format, as well as other popular books in Mathematics & Functional Analysis. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2020
Print ISBN
9781119585503
eBook ISBN
9781119585657
Edition
1
Topic
Mathematics
Subtopic
Functional Analysis
Index
Mathematics

Table of contents

  1. Cover
  2. Table of Contents
  3. Notes on Contributors
  4. Preface
  5. Acknowledgments
  6. 1 Connectionist Learning Models for Application Problems Involving Differential and Integral Equations
  7. 2 Deep Learning in Population Genetics: Prediction and Explanation of Selection of a Population
  8. 3 A Survey of Classification Techniques in Speech Emotion Recognition
  9. 4 Mathematical Methods in Deep Learning
  10. 5 Multimodal Data Representation and Processing Based on Algebraic System of Aggregates
  11. 6 Nonprobabilistic Analysis of Thermal and Chemical Diffusion Problems with Uncertain Bounded Parameters
  12. 7 Arbitrary Order Differential Equations with Fuzzy Parameters
  13. 8 Fluid Dynamics Problems in Uncertain Environment
  14. 9 Fuzzy Rough Set Theory‐Based Feature Selection: A Review
  15. 10 Universal Intervals: Towards a Dependency‐Aware Interval Algebra
  16. 11 Affine‐Contractor Approach to Handle Nonlinear Dynamical Problems in Uncertain Environment
  17. 12 Dynamic Behavior of Nanobeam Using Strain Gradient Model
  18. 13 Structural Static and Vibration Problems
  19. 14 Generalized Differential and Integral Quadrature: Theory and Applications
  20. 15 Brain Activity Reconstruction by Finding a Source Parameter in an Inverse Problem
  21. 16 Optimal Resource Allocation in Controlling Infectious Diseases
  22. 17 Artificial Intelligence and Autonomous Car
  23. 18 Different Techniques to Solve Monotone Inclusion Problems
  24. Index
  25. End User License Agreement