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Numerical Analysis and Scientific Computation


Numerical Analysis and Scientific Computation Cover


Synopses & Reviews

Publisher Comments:

This text emphasizes the mathematical ideas behind the methods and the idea of mixing methods for robustness. The optional use of MATLAB is incorporated throughout the book. This text is intended for a first course in Numerical Analysis taken by students majoring in mathematics, engineering, computer science, or the sciences.


Nonlinear Equations, Linear Systems, Iterative Methods, Polynomial Interpolation, Numerical Integration, Differential Equations, Nonlinear Optimization, Approximation Methods


For all readers interested in numerical analysis and scientific computation.

Book News Annotation:

This is a textbook in numerical analysis and scientific computing intended for students with a year of calculus coursework, and familiarity with matrix algebra and differential equations. Leader prefers not to introduce both mathematical topics and numerical techniques, so all the techniques in this book will be familiar to anyone with the prerequisites listed; for example, Leader chooses not to present the Fourier transform because many students might not be familiar with Fourier analysis. In addition to the usual contents of a textbook like this, there is an emphasis on optimization (displayed by an entire chapter on nonlinear optimization), and optional MATLAB subsections at the end of each subsection.
Annotation 2004 Book News, Inc., Portland, OR (booknews.com)

Table of Contents

1. Nonlinear Equations.

Biscetion and Inverse Linear Interpolation.

Newton's Method.

The Fixed Point Theorem.

Quadratic Convergence of Newton's Method.

Variants of Newton's Method.

Brent's Method.

Effects of Finite Precision Arithmetic.

Newton's Method for Systems.

Broyden's Method.

2. Linear Systems.

Gaussian Elimination with Partial Pivoting.

The LU Decomposition.

The LU Decomposition with Pivoting.

The Cholesky Decomposition.

Condition Numbers.

The QR Decomposition.

Householder Triangularization and the QR Decomposition.

Gram-Schmidt Orthogonalization and the QR Decomposition.

The Singular Value Decomposition.

3. Iterative Methods.

Jacobi and Gauss-Seidel Iteration.


Iterative Refinement.


Krylov Space Methods.

Numerical Eigenproblems.

4. Polynomial Interpolation.

Lagrange Interpolating Polynomials.

Piecewise Linear Interpolation.

Cubic Splines.

Computation of the Cubic Spline Coefficients.

5. Numerical Integration.

Closed Newton-Cotes Formulas.

Open Newton-Cotes Formulas and Undetermined Coeffients.

Gaussian Quadrature.

Gauss-Chebyshev Quadrature.

Radau and Lobatto Quadrature.

Adaptivity and Automatic Integration.

Romberg Integration.

6. Differential Equations.

Numerical Differentiation.

Euler's Method.

Improved Euler's Method.

Analysis of Explicit One-Step Methods.

Taylor and Runge-Kutta Methods.

Adaptivity and Stiffness.

Multi-Step Methods.

7. Nonlinear Optimization.

One-Dimensional Searches.

The Method of Steepest Descent.

Newton Methods for Nonlinear Optimization.

Multiple Random Start Methods.

Direct Search Methods.

The Nelder-Mead Method.

Conjugate Direction Methods.

8. Approximation Methods.

Linear and Nonlinear Least Squares.

The Best Approximation Problem.

Best Uniform Approximation.

Applications of the Chebyshev Polynomials.





Product Details

Leader, Jeffrey
Leader, Jeffery J.
Computer Science
Personal Computers-General
Edition Description:
Trade paper
Featured Titles for Numerical Analysis
Series Volume:
Publication Date:
Grade Level:
College/higher education:
9 x 7.4 x 1.3 in 1016 gr

Related Subjects

Computers and Internet » Computers Reference » General
Computers and Internet » Personal Computers » General
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Science and Mathematics » Mathematics » Reference

Numerical Analysis and Scientific Computation New Trade Paper
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Product details 608 pages Addison Wesley Longman - English 9780201734997 Reviews:
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