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Advance Numerical Techniques to Solve Linear and Nonlinear Differential Equations

By: (Edited by) Geeta Arora , (Edited by) Mangey Ram

Manufacture on Demand

Ksh 17,450.00

Format: Hardback or Cased Book

ISBN-10: 8770229872

ISBN-13: 9788770229876

Series: River Publishers Series in Mathematical, Statistical and Computational Modelling for Engineering

Publisher: River Publishers

Imprint: River Publishers

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jan 23rd, 2024

Print length: 152 Pages

Weight: 960 grams

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Real-world issues can be translated into the language and concepts of mathematics with the use of mathematical models. This book provides these real-world examples, explores research challenges in numerical treatment, and demonstrates how to create new numerical methods for resolving problems.

Real-world issues can be translated into the language and concepts of mathematics with the use of mathematical models. Models guided by differential equations with intuitive solutions can be used throughout engineering and the sciences. Almost any changing system may be described by a set of differential equations. They may be found just about anywhere you look in fields including physics, engineering, economics, sociology, biology, business, healthcare, etc. The nature of these equations has been investigated by several mathematicians over the course of hundreds of years and, consequently, numerous effective methods for solving them have been created. It is often impractical to find a purely analytical solution to a system described by a differential equation because either the system itself is too complex or the system being described is too vast. Numerical approaches and computer simulations are especially helpful in such systems.

The content provided in this book involves real-world examples, explores research challenges in numerical treatment, and demonstrates how to create new numerical methods for resolving problems. Theories and practical applications in the sciences and engineering are also discussed. Students of engineering and applied mathematics, as well as researchers and engineers who use computers to solve problems numerically or oversee those who do, will find this book focusing on advance numerical techniques to solve linear and nonlinear differential equations useful.


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