An Introduction to Partial Differential Equations with MATLAB
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※上記表示の販売価格は割引適用後の価格です 出版済み 3-5週間でお届けいたします。 Series: Advances in Applied Mathematics Author: Coleman, Matthew P. (Fairfield University, Connecticut, USA) / Bukshtynov, Vladislav Publisher: Taylor & Francis ISBN: 9781032639383 Cover: HARDCOVER Date: 2024年08月 DESCRIPTION The first and second editions of “An Introduction to Partial Differential Equation with MATLABR” gained popularity among instructors and students at various universities throughout the world. Plain mathematical language is used in a friendly manner to provide a basic introduction to partial differential equations focusing on Fourier series and integrals. Suitable for a one- or two-semester introduction to PDEs and Fourier series, the book offers equations based on method of solution and provides both physical and mathematical motivation as much as possible. This third edition changes the book structure by lifting the role of the computational part much closer to the revised analytical portion. The re-designed content will be extremely useful for students of mathematics, physics and engineering who would like to focus on the practical aspects of using the theory of PDEs for modeling and later while taking various courses in numerical analysis, computer science, PDE-based programming, and optimization. Included in this new edition is a substantial amount of material on reviewing computational methods for solving ODEs (symbolically and numerically), visualizing solutions of PDEs, using MATLAB's symbolic programming toolbox, and applying various numerical schemes for computing with regard to numerical solutions in practical applications, along with suggestions for topics of course projects. Students will use sample MATLAB and Python codes available online for their practical experiments and for completing computational lab assignments and course projects. TABLE OF CONTENTS Chapter 1. Introduction Chapter 2. The Big Three PDEs Chapter 3. Using MATLAB for Solving Differential Equations and Visualizing Solutions Chapter 4. Fourier Series Chapter 5. Solving the Big Three PDEs on Finite Domains Chapter 6. Review of Numerical Methods for Solving ODEs Chapter 7. Solving PDEs Using Finite Difference Approximations Chapter 8. Integral Transforms Chapter 9. Using MATLAB's Symbolic Math Toolbox with Integral Transforms Chapter 10. PDEs in Higher Dimensions Chapter 11. Overview of Spectral, Finite Element, and Finite Volume Methods Appendix A: Important Definitions and Theorems Appendix B: Bessel's Equation and the Method of Frobenius Appendix C: A Menagerie of PDEs Appendix D: Review of Math with MATLAB Appendix E: Answers to Selected Exercises
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