Numerical Analysis for Engineers and Scientists

Preface
1. Numerical error
2. Direct solution of linear systems
3. Eigenvalues and eigenvectors
4. Iterative approaches for linear systems
5. Interpolation
6. Iterative methods and the roots of polynomials
7. Optimization
8. Data fitting
9. Integration
10. Ordinary differential equations
11. Introduction to stochastic ODEs
12. A big integrative example
A. Mathematical background
B. Answers
C. Sample codes
References
Index.