Comprehensive coverage of topics, including chapters on optimization (Chapter 6) and digital signal processing
(Chapter 10).
Two complete software libraries with source code and built-in documentation that implement the algorithms developed
in the text. A GUI-driven MATLAB toolbox and a comprehensive ANSI C library are provided on an accompanying CD-ROM
bound into the text.
38 detailed case studies apply techniques to problems in civil, mechanical, chemical and electrical engineering,
with solutions in both MATLAB and C.
Clear, engaging writing style with motivational problems at the start of each chapter, and numerous worked-out
examples and illustrations.
Detailed objectives and summaries for each chapter.
Table of Contents
1. NUMERICAL COMPUTATION.
Motivation and Objectives.
Number Representation.
Machine Precision.
Round-Off Error.
Truncation Error.
Random Number Generation.
Numerical Software.
Applications.
Chapter Summary.
Problems.
2. LINEAR ALGEBRAIC SYSTEMS.
Motivation and Objectives.
Gauss-Jordan Elimination.
Gaussian Elimination.
LU Decomposition.
Ill-Conditioned Systems.
Iterative Methods.
Applications.
Chapter Summary.
Problems.
3. EIGENVALUES AND EIGENVECTORS.
Motivation and Objectives.
The Characteristic Polynomial.
Power Methods.
Jacobi's Method.
Householder Transformation.
QR Method.
Danilevsky's Method.
Polynomial Roots.
Applications.
Chapter Summary.
Problems.
4. CURVE FITTING.
Motivation and Objectives.
Interpolation.
Newton's Difference Formula.
Cubic Splines.
Least Square.
Two-Dimensional Interpolation.
Applications.
Chapter Summary.
Problems.
5. ROOT FINDING.
Motivation and Objects.
Bracketing Methods.
Contraction Mapping Method.
Secant Method.
Muller's Method.
Newton's Method.
Polynomial Roots.
Nonlinear Systems of Equations.
Applications.
Chapter Summary.
Problems.
6. OPTIMIZATION.
Motivation and Objectives.
Local and Global Minima.
Line Searches.
Steepest Descent Method.
Conjugate-Gradient Method.
Quasi-Newton Methods.
Penalty Functions.
Simulated Annealing.
Applications.
Chapter Summary.
Problems.
Motivation and Objectives.
Fourier Transform.
Fast Fourier Transform (FFT).
Correlation.
Convolution Digital Filters.
Two-Dimensional FFT.
System Identification.
Applications.
Chapter Summary.
Problems.
REFERENCES AND FURTHER READING.
APPENDIX 1: NLIB USING MATLAB.
A Numerical Toolbox: NLIB.
Main-Program Support.
Linear Algebraic Systems.
Eigenvalues and Eigenvectors.
Curve Fitting.
Root Finding.
Optimization.
Differentiation and Integration.
Ordinary Differential Equations.
Partial Differential Equations.
Digital Signal Processing.
APPENDIX 2: NLIB USING C.
A Numerical Library: NLIB.
NLIB Data Types. NLIB Core: nlib.c.
Tabular Display: show.c. Graphical Display: draw.c.
Linear Algebraic Systems: linear.c.
Eigenvalues and Eigenvectors: eigen.c.
Curve Fitting: curves.c. Root Finding: roots.c.
Optimization: optim.c.
Differentiation and Integration: integ.c.
Ordinary Differential Equations: ode.c.
Partial Differential Equations: pde.c.
Digital Signal Processing: dsp.c.
APPENDIX 3: VECTORS AND MATRICES.
Vector and Matrix Notation.
Basic Operations. Inverses.
Eigenvalues and Eigenvectors.
Vector Norms.