Package | Description |
---|---|
org.hipparchus.optim |
Generally, optimizers are algorithms that will either
minimize or
maximize
a scalar function, called the
objective
function . |
org.hipparchus.optim.linear |
Optimization algorithms for linear constrained problems.
|
org.hipparchus.optim.nonlinear.scalar |
Algorithms for optimizing a scalar function.
|
org.hipparchus.optim.nonlinear.scalar.gradient |
This package provides optimization algorithms that require derivatives.
|
org.hipparchus.optim.nonlinear.scalar.noderiv |
This package provides optimization algorithms that do not require derivatives.
|
Modifier and Type | Class and Description |
---|---|
class |
BaseMultiStartMultivariateOptimizer<P>
Base class multi-start optimizer for a multivariate function.
|
Constructor and Description |
---|
BaseMultiStartMultivariateOptimizer(BaseMultivariateOptimizer<P> optimizer,
int starts,
RandomVectorGenerator generator)
Create a multi-start optimizer from a single-start optimizer.
|
Modifier and Type | Class and Description |
---|---|
class |
LinearOptimizer
Base class for implementing linear optimizers.
|
class |
SimplexSolver
Solves a linear problem using the "Two-Phase Simplex" method.
|
Modifier and Type | Class and Description |
---|---|
class |
GradientMultivariateOptimizer
Base class for implementing optimizers for multivariate scalar
differentiable functions.
|
class |
MultiStartMultivariateOptimizer
Multi-start optimizer.
|
class |
MultivariateOptimizer
Base class for a multivariate scalar function optimizer.
|
Modifier and Type | Class and Description |
---|---|
class |
NonLinearConjugateGradientOptimizer
Non-linear conjugate gradient optimizer.
|
Modifier and Type | Class and Description |
---|---|
class |
BOBYQAOptimizer
Powell's BOBYQA algorithm.
|
class |
CMAESOptimizer
An implementation of the active Covariance Matrix Adaptation Evolution Strategy (CMA-ES)
for non-linear, non-convex, non-smooth, global function minimization.
|
class |
PowellOptimizer
Powell's algorithm.
|
class |
SimplexOptimizer
This class implements simplex-based direct search optimization.
|
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