Algorithms
From NEOS
- Simplex Method
- Interior-Point Methods
- Branch and Bound
- Newton Methods (Unconstrained optimization)
- Quasi-Newton Methods (Unconstrained optimization)
- Nonlinear Simplex Method (Unconstrained optimization)
- Nonlinear Conjugate Gradient Method (Unconstrained optimization)
- Difference Approximations (Unconstrained optimization)
- Gradient-Projection Methods
- Augmented Lagrangian Methods
- Reduced-Gradient Methods
- Direct search, multistart algorithms, controlled random search, and evolutionary algorithms (Bound Constrained Optimization)
- Multistart algorithms, controlled random search, DIRECT search, and evolution strategies with stochastic ranking (ISRES) (Global optimization)
- NLopt algorithms page
- Quadratic Programming Methods
- Stochastic algorithms
- Nonlinear Equations
- Nonlinear Least Squares:
- Dynamic Programming
- Network Programming
- Sequential Quadratic Programming
- Feasible Sequential Quadratic Programming
