Name: The Improved Residual Power Series Method for Boundary Value Problems (en Inglés)
SKU: 64339538
Price: 271.66 USD
Availability: InStock
Author: Abdullah Dawar; Hamid Khan
ISBN: 9781032956541

portada The Improved Residual Power Series Method for Boundary Value Problems (en Inglés)

The Improved Residual Power Series Method for Boundary Value Problems (en Inglés)

Formato

Libro Físico

Editorial

Crc Pr Inc

Autor

Abdullah Dawar; Hamid Khan

Idioma

Inglés

Encuadernación

Tapa Dura

ISBN13

9781032956541

The Improved Residual Power Series Method for Boundary Value Problems (en Inglés)

Abdullah Dawar; Hamid Khan (Autor) · Crc Pr Inc · Tapa Dura

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Reseña del libro "The Improved Residual Power Series Method for Boundary Value Problems (en Inglés)"

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.