Scientific Computing - An Introduction using Maple and MATLAB

Walter Gander

ISBN 10: 3319043242 / ISBN 13: 9783319043241

Published by Springer, Springer Apr 2014, 2014

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Scientific computing is the study of how to use computers effectively to solve problems that arise from the mathematical modeling of phenomena in science and engineering. It is based on mathematics, numerical and symbolic/algebraic computations and visualization. This book serves as an introduction to both the theory and practice of scientific computing, with each chapter presenting the basic algorithms that serve as the workhorses of many scientific codes; we explain both the theory behind these algorithms and how they must be implemented in order to work reliably in finite-precision arithmetic. The book includes many programs written in Matlab and Maple ¿ Maple is often used to derive numerical algorithms, whereas Matlab is used to implement them. The theory is developed in such a way that students can learn by themselves as they work through the text. Each chapter contains numerous examples and problems to help readers understand the material ¿hands-on¿.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 932 pp. Englisch.

Seller Inventory # 9783319043241

Bibliographic Details

• Title: Scientific Computing - An Introduction using Maple and MATLAB
• Publisher: Springer, Springer Apr 2014
• Publication Date: 2014
• Language: English
• ISBN 10: 3319043242
• ISBN 13: 9783319043241
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 52D millimeters 241 millimeters width by 160 millimeters height by 52 millimeters depth
• Weight: 1712 grams

About this title

Synopsis

Scientific computing is the study of how to use computers effectively to solve problems that arise from the mathematical modeling of phenomena in science and engineering. It is based on mathematics, numerical and symbolic/algebraic computations and visualization. This book serves as an introduction to both the theory and practice of scientific computing, with each chapter presenting the basic algorithms that serve as the workhorses of many scientific codes; we explain both the theory behind these algorithms and how they must be implemented in order to work reliably in finite-precision arithmetic. The book includes many programs written in Matlab and Maple – Maple is often used to derive numerical algorithms, whereas Matlab is used to implement them. The theory is developed in such a way that students can learn by themselves as they work through the text. Each chapter contains numerous examples and problems to help readers understand the material “hands-on”.