## Package org.apache.commons.math.optimization.general

This package provides optimization algorithms that require derivatives.

See:
Description

Interface Summary
Preconditioner: This interface represents a preconditioner for differentiable scalar objective function optimizers.

Class Summary
AbstractLeastSquaresOptimizer: Base class for implementing least squares optimizers.
AbstractScalarDifferentiableOptimizer: Base class for implementing optimizers for multivariate scalar functions.
GaussNewtonOptimizer: Gauss-Newton least-squares solver.
LevenbergMarquardtOptimizer: This class solves a least squares problem using the Levenberg-Marquardt algorithm.
NonLinearConjugateGradientOptimizer: Non-linear conjugate gradient optimizer.
NonLinearConjugateGradientOptimizer.IdentityPreconditioner: Default identity preconditioner.

Enum Summary
ConjugateGradientFormula: Available choices of update formulas for the β parameter in `NonLinearConjugateGradientOptimizer`.

## Package org.apache.commons.math.optimization.general Description

This package provides optimization algorithms that require derivatives.

Copyright (c) 2003-2011 Apache Software Foundation