Improved Residual Power Series Method for Boundary Value Problems

This book introduces a semi- analytical method, Improved Residual Power Series Method (IRPSM), for solving boundary value problems (BVPs). Unlike traditional numerical and analytical techniques, IRPSM offers quick convergence and minimal computational time, avoiding the pitfalls of round- off errors, linearization, perturbation, and discretization. This innovative approach has been rigorously compared with existing methods, demonstrating superior accuracy and efficiency. The book is meant for scholars, researchers, and students in mathematics, engineering, and physics.This book: Explores the application of IRPSM to a wide range of problems, including ordinary and partial differential equations, multi- point BVPs, and complex systems in physics and engineering Highlights IRPSM for its ability to efficiently handle highly nonlinear and complex boundary value problems, providing accurate solutions with reduced computational effort Demonstrates the method's applicability across disciplines such as fluid dynamics and engineering Provides Mathematica codes for each solved problem, allowing readers to understand the solution procedure and implement IRPSM in their own research Offers a new and efficient method for solving BVPs and a practical reference for those seeking to minimize computational time and error in their work.

Dettagli sul prodotto

• Autori: Abdullah Dawar, Abdullah Khan Dawar, Hamid Khan, Khan Hamid
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 05.05.2025, ritardato
• EAN: 9781032956541
• ISBN: 978-1-0-3295654-1
• Pagine: 238
• Categorie: Scienze naturali, medicina, informatica, tecnica > Matematica > Analisi; MATHEMATICS / Applied, SCIENCE / Mechanics / Fluids, SCIENCE / Applied Sciences, MATHEMATICS / Differential Equations / General, MATHEMATICS / Differential Equations / Partial, MATHEMATICS / Differential Equations / Ordinary, Fluid mechanics, Differential calculus & equations, Applied mathematics, Technology, Engineering, Agriculture, Physics: Fluid mechanics, Differential calculus and equations, Technology, Engineering, Agriculture, Industrial processes