SOT
|
Csot::DDS | The Dynamically Dimensioned Search optimization algorithm |
▼Csot::ExpDesign | Abstract class for a SOT experimental design class |
Csot::CornersMid | Corners + Midpoint |
Csot::FixedDesign | Fixed experimental design |
Csot::LatinHypercube | Latin hypercube design |
Csot::SymmetricLatinHypercube | Symmetric Latin hypercube design |
Csot::TwoFactorial | 2-Factorial design |
Csot::GeneticAlgorithm | Genetic Algorithm |
▼Csot::Kernel | Abstract class for a radial kernel |
Csot::CubicKernel | Cubic kernel |
Csot::LinearKernel | Linear kernel |
Csot::ThinPlateKernel | TPS kernel |
▼Csot::MeritFunction | Abstract class for a SOT merit function |
Csot::MeritWeightedDistance | Merit function for choosing candidate points |
Csot::Optimizer | The surrogate optimization algorithm |
▼Csot::Problem | Abstract class for a SOT optimization problem |
Csot::GAWrapper | Wrapper to turn a surrogate model into an optimization problem |
▼Csot::TestProblem | Abstract class for a SOT test problem |
Csot::Ackley | Ackley function |
Csot::CosineMixture | Cosine Mixture function |
Csot::Exponential | Exponential function |
Csot::Griewank | Griewank function |
Csot::Himmelblau | Himmelblau function |
Csot::Keane | Keane function |
Csot::Levy | Levy function |
Csot::Michalewicz | Michalewicz function |
Csot::Rastrigin | Rastrigin function |
Csot::Rosenbrock | Rosenbrock function |
Csot::RotatedProblem< OptProb > | Rotated and translated problem |
Csot::Salomon | Salomon function |
Csot::Schaffer2 | Schaffer2 function |
Csot::Schoen | Schoen function |
Csot::Schubert3 | Schubert3 function |
Csot::Schwefel22 | Schwefel22 function |
Csot::Schwefel26 | Schwefel26 function |
Csot::SineEnvelope | Sine Envelope function |
Csot::Sphere | Sphere function |
Csot::Step | Step function |
Csot::SumSquares | Sum of Squares function |
Csot::Tablet | Tablet function |
Csot::UnitBoxProblem< OptProb > | Problem scaled to the unit box |
Csot::Zakharov | Zakharov function |
Csot::Result | Optimization result class |
▼Csot::Sampling | Abstract class for a SOT adaptive sampling class |
Csot::DYCORS< MeritFunction > | DYnamic COordinate search using Response Surface models |
Csot::GASampling | Use a GA to minimize the surrogate |
Csot::SRBF< MeritFunction > | Stochastic RBF |
Csot::Uniform< MeritFunction > | Uniformly chosen candidate points |
Csot::StopWatch | Stop watch class |
▼Csot::Surrogate | Abstract class for a SOT surrogate model |
Csot::kNN | K-nearest neighbors |
▼Csot::RBFInterpolant< RBFKernel, PolyTail > | Radial basis function |
Csot::RBFInterpolantCap< RBFKernel, PolyTail > | Capped RBF interpolant |
Csot::Shepard | Shepard's method |
▼Csot::Tail | Abstract class for a polynomial tail |
Csot::ConstantTail | Constant polynomial tail |
Csot::LinearTail | Linear polynomial tail |