numerical methods project work
The simulation methodology for a variety of applied mathematical problems in numerical linear and nonlinear algebra, statistical modeling, and numerical differentiation and integration. Graphical representation of numerical solutions.
Covers the following subject matter:
- Finding max/min and zeros of a function
- Numerical differentiation and integration
- Matrix equations and eigenvalues
- Interpolation and data smoothing
- Runge-Kutta methods
- Random numbers and Monte Carlo methods
- Ordinary Diff. Equations
- Discrete optimization
- Fast Fourier Transform and applications