Numerical Mathematics and Computing, International Edition

1. INTRODUCTION.
Preliminary Remarks. Review of Taylor Series.
2. FLOATING-POINT REPRESENTATION AND ERRORS.
Floating-Point Representation. Loss of Significance.
3. LOCATING ROOTS OF EQUATIONS.
Bisection Method. Newton's Method. Secant Method.
4. INTERPOLATION AND NUMERICAL DIFFERENTIATION.
Polynomial Interpolation. Errors in Polynomial Interpolation. Estimating Derivatives and Richardson Extrapolation.
5. NUMERICAL INTEGRATION.
Lower and Upper Sums. Trapezoid Rule. Romberg Algorithm.
6. ADDITIONAL TOPICS ON NUMERICAL INTEGRATION.
Simpson's Rule and Adaptive Simpson's Rule. Gaussian Quadrature Formulas.
7. SYSTEMS OF LINEAR EQUATIONS.
Naive Gaussian Elimination. Gaussian Elimination with Scaled Partial Pivoting. Tridiagonal and Banded Systems.
8. ADDITIONAL TOPICS CONCERNING SYSTEMS OF LINEAR EQUATIONS.
Matrix Factorizations. Iterative Solutions of Linear Systems. Eigenvalues and Eigenvectors. Power Method.
9. APPROXIMATION BY SPLINE FUNCTIONS.
First-Degree and Second-Degree Splines. Natural Cubic Splines. B Splines: Interpolation and Approximation.
10. ORDINARY DIFFERENTIAL EQUATIONS.Taylor Series Methods. Runge-Kutta Methods. Stability and Adaptive Runge-Kutta and Multistep Methods.
11. SYSTEMS OF ORDINARY DIFFERENTIAL EQUATIONS.
Methods for First-Order Systems. Higher-Order Equations and Systems. Adams-Bashforth-Moulton Methods.
12. SMOOTHING OF DATA AND THE METHOD OF LEAST SQUARES.
Method of Least Squares. Orthogonal Systems and Chebyshev Polynomials. Other Examples of the Least-Squares Principle.
13. MONTE CARLO METHODS AND SIMULATION.
Random Numbers. Estimation of Areas and Volumes by Monte Carlo Techniques. Simulation.
14. BOUNDARY-VALUE PROBLEMS FOR ORDINARY DIFFERENTIAL EQUATIONS.
Shooting Method Shooting Method Algorithm. A Discretization Method.
15. PARTIAL DIFFERENTIAL EQUATIONS.
Parabolic Problems. Hyperbolic Problems. Elliptic Problems.
16. MINIMIZATION OF FUNCTIONS.
One-Variable Case. Multivariate Case.
17. LINEAR

Cheney, E.
Ward Cheney is Professor of Mathematics at the University of Texas at Austin. His research interests include approximation theory, numerical analysis, and extremum problems.

Kincaid, David
David Kincaid is Senior Lecturer in the Department of Computer Sciences at the University of Texas at Austin. Also, he is the Interim Director of the Center for Numerical Analysis (CNA) within the Institute for Computational Engineering and Sciences (ICES).