Uses of Package
org.hipparchus.optim
Package
Description
Generally, optimizers are algorithms that will either
minimize
or
maximize
a scalar function, called the
objective
function
.Optimization algorithms for linear constrained problems.
Algorithms for optimizing a scalar function.
This package provides optimization algorithms that require derivatives.
This package provides optimization algorithms that do not require derivatives.
This package provides algorithms that minimize the residuals
between observations and model values.
This package provides algorithms that minimize the residuals
between observations and model values.
One-dimensional optimization algorithms.
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ClassDescriptionBase class for all convergence checker implementations.Base class for implementing optimizers for multivariate functions.Base class for implementing optimizers.This interface specifies how to check if an optimization algorithm has converged.Enumeration for localized messages formats used in exceptions messages.Maximum number of evaluations of the function to be optimized.Maximum number of iterations performed by an (iterative) algorithm.Marker interface.Common settings for all optimization problems.This class holds a point and the value of an objective function at that point.This class holds a point and the vectorial value of an objective function at that point.Simple optimization constraints: lower and upper bounds.
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ClassDescriptionBase class for implementing optimizers for multivariate functions.Base class for implementing optimizers.Marker interface.This class holds a point and the value of an objective function at that point.
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ClassDescriptionBase class multi-start optimizer for a multivariate function.Base class for implementing optimizers for multivariate functions.Base class for implementing optimizers.This interface specifies how to check if an optimization algorithm has converged.Marker interface.This class holds a point and the value of an objective function at that point.
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ClassDescriptionBase class for implementing optimizers for multivariate functions.Base class for implementing optimizers.This interface specifies how to check if an optimization algorithm has converged.Marker interface.This class holds a point and the value of an objective function at that point.
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ClassDescriptionBase class for implementing optimizers for multivariate functions.Base class for implementing optimizers.This interface specifies how to check if an optimization algorithm has converged.Marker interface.This class holds a point and the value of an objective function at that point.
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ClassDescriptionBase class for implementing optimizers for multivariate functions.Base class for implementing optimizers.This interface specifies how to check if an optimization algorithm has converged.Marker interface.
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ClassDescriptionThis interface specifies how to check if an optimization algorithm has converged.Common settings for all optimization problems.This class holds a point and the vectorial value of an objective function at that point.
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ClassDescriptionBase class for all convergence checker implementations.Base class for implementing optimizers.This interface specifies how to check if an optimization algorithm has converged.Marker interface.