An introduction to partial differential equations with MATLAB®

• Verfasst von: Coleman, Matthew P. [VerfasserIn]
• Verfasst von: Bukshtynov, Vladislav [VerfasserIn]
• Titel: An introduction to partial differential equations with MATLAB®
• Verf.angabe: Matthew P. Coleman and Vladislav Bukshtynov
• Ausgabe: Third edition
• Verlagsort: Boca Raton ; London ; New York
• Verlag: CRC Press, Taylor & Francis Group
• Jahr: 2025
• Umfang: xx, 489 Seiten
• Illustrationen: Diagramme
• Gesamttitel/Reihe: Advances in applied mathematics
• Fussnoten: Includes bibliographical references and index
• ISBN: 978-1-032-63938-3
• ISBN: 978-1-032-65086-9
• Sprache: eng
• RVK-Notation: SK 540
• Sach-SW: MATHEMATICS / Applied
• Sach-SW: MATHEMATICS / Differential Equations
• K10plus-PPN: 1884776310

Abstract

"The first and second editions of "An Introduction to Partial Differential Equation with MATLAB®" 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"--