Written by Christopher R. Harty may, 18 2006 (final release)
Purpose: Numerical Methods class at Hofstra U. This specific class was a requirement by all Engineering, Computer, and Physics Majors and is a fundamental tool used in the field to analyize errors from any given project.
Comments: Optional project which we could use on the final exam. All assigned algorithms were integrated and completed, resulting with me finishing the final exam within 15 minutes and receiving an A+ on it.
Description: 6+ engineering level error analysis algorithms
@Algorithms used:
- P1
- Nevilles
- Runga Kuta
- Eulers
- Gradient Descent
- Clever Pivoting
- Gaussian Reduction
@Functionality includes:
- Inverse matrices
- Reduce matrices
- Matrix Calulations