/** \page MethodsDoc Optimization Methods This section contains recommendations for optimization algorithms based on problem characteristics. \section Unconstrained Unconstrained Optimization Methods

1. No Derivative Information or Noisy Function Evaluations
   - Parallel Direct Search (PDS) Method
   - Generating Set Search (GSS) Method
2. Derivative Information Available
   - Conjugate Gradient Method
   - Limited-Memory BFGS Method
   - Newton's Method

\section Bound_Constraints Bound-Constrained Optimization Methods

- Barrier Newton Method
- Bound Constrained Ellipsoid Method
- Bound Constrained Newton
- Nonlinear Interior-Point Method
- NPSOL wrapper
- Parallel Direct Search (PDS) Method

\section GeneralConstraints Generally Constrained Optimization Methods

- Nonlinear Interior-Point Method
- NPSOL wrapper

\section LeastSquares Optimization Methods using Gauss-Newton approximations

- Disaggregated Hessian Nonlinear Interior-Point Method
- Newton's method

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*/