Interactive Educational Modules in
Scientific Computing

Optimization

The following modules demonstrate algorithms for solving optimization problems.

Optimization in One Dimension

• Golden Section Search
• Successive Parabolic Interpolation
• Newton's Method

Unconstrained Optimization in Two Dimensions

• Steepest Descent Method
• Conjugate Gradient Method
• Newton's Method
• BFGS Method
• Nelder-Mead Method
• Energy Minimization

Constrained Optimization in Two Dimensions

• Sequential Quadratic Programming Method
• Penalty Function Method

Nonlinear Least Squares

• Gauss-Newton Method
• Levenberg-Marquardt Method