Numerical Approximation Methods [electronic resource] : π ≈ 355/113 / by Harold Cohen.
By: Cohen, Harold [author.].
Contributor(s): SpringerLink (Online service).
Material type:
BookPublisher: New York, NY : Springer New York, 2011Description: XIII, 485p. 21 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781441998378.Subject(s): Mathematics | Computer science -- Mathematics | Engineering mathematics | Mathematics | Computational Mathematics and Numerical Analysis | Numerical and Computational Physics | Appl.Mathematics/Computational Methods of EngineeringDDC classification: 518 | 518 Online resources: Click here to access online
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Springer eBooksSummary: This book presents numerical approximation techniques for solving various types of mathematical problems that cannot be solved analytically. In addition to well-known methods, it contains a collection of non-standard approximation techniques that appear in the literature but are not otherwise well known. This text also contains original methods developed by the author. It includes an extensive treatment of approximate solutions to various types of integral equations. Examples are used extensively to illustrate the theory. Problems at the end of the chapters are provided for practice. The book is suitable as a textbook or as a reference for students taking a course in numerical methods. Researchers in need of approximation methods in their work will also find this book useful.
This book presents numerical approximation techniques for solving various types of mathematical problems that cannot be solved analytically. In addition to well-known methods, it contains a collection of non-standard approximation techniques that appear in the literature but are not otherwise well known. This text also contains original methods developed by the author. It includes an extensive treatment of approximate solutions to various types of integral equations. Examples are used extensively to illustrate the theory. Problems at the end of the chapters are provided for practice. The book is suitable as a textbook or as a reference for students taking a course in numerical methods. Researchers in need of approximation methods in their work will also find this book useful.
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