Scientific Computing - An Introduction using Maple and MATLAB

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Springer Science & Business, Apr 23, 2014 - Mathematics - 905 pages
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”.
 

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Contents

Chapter 1 Why Study Scientific Computing?
1
Chapter 2 Finite Precision Arithmetic
9
Chapter 3 Linear Systems of Equations
61
Chapter 4 Interpolation
113
Chapter 5 Nonlinear Equations
181
Chapter 6 Least Squares Problems
260
Chapter 7 Eigenvalue Problems
387
Chapter 8 Differentiation
487
Chapter 9 Quadrature
516
Chapter 10 Numerical Ordinary Differential Equations
583
Chapter 11 Iterative Methods for Linear Systems
673
Chapter 12 Optimization
816
Bibliography
887
Index
895
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