| Имя | Описание |
|---|---|
| AugmentedLagrangian | Augmented Lagrangian method for constrained non-linear optimization. |
| BaseGradientOptimizationMethod | Base class for gradient-based optimization methods. |
| BaseOptimizationMethod | Base class for optimization methods. |
| BinarySearch | Binary search root finding algorithm. |
| BoundedBroydenFletcherGoldfarbShanno | |
| BoundedBroydenFletcherGoldfarbShannoInnerStatus | Inner status of the BoundedBroydenFletcherGoldfarbShanno optimization algorithm. This class contains implementation details that can change at any time. |
| BrentSearch | Brent's root finding and minimization algorithms. |
| ExpressionParser | |
| GaussNewton | Gauss-Newton algorithm for solving Least-Squares problems. |
| LevenbergMarquardt | Levenberg-Marquardt algorithm for solving Least-Squares problems. |
| LineSearchFailedException | |
| LinearConstraint | Constraint with only linear terms. |
| NonlinearConjugateGradient | Non-linear Conjugate Gradient (WARNING: This code can not be used for commercial purposes. It is MANDATORY to check the accompanying license file for this particular module AND the source code for more details before you use this code). |
| NonlinearConstraint | Constraint with only linear terms. |
| NonlinearObjectiveFunction | Quadratic objective function. |
| OptimizationProgressEventArgs | Optimization progress event arguments. |
| QuadraticConstraint | Constraint with only quadratic terms. |
| QuadraticObjectiveFunction | Quadratic objective function. |
| ResilientBackpropagation | Resilient Backpropagation method for unconstrained optimization. |
| TrustRegionNewtonMethod | Simplified Trust Region Newton Method (TRON) for non-linear optimization. |