Package org.ddogleg.optimization
package org.ddogleg.optimization
-
ClassDescriptionConfiguration for
GaussNewtonBase_F64.Convergence paramters forUnconstrainedMinimizationandUnconstrainedLeastSquares.Used to validate an algebraic Jacobian numerically.Functions for creating numerical derivativesCreates optimization algorithms using easy to use interfaces.Factory for sparse optimization algorithms.Base class for Gauss-Newton based approaches for unconstrained optimization.Optimization modeInterface for iterative optimization classes.Line search for nonlinear optimization.OptimizationDerivative<State>Interface for computing the gradient of a set of functions given a set of model parameters.This message is thrown if something bad happens while optimizing that would be the results invalidUnconstrainedLeastSquares<S extends DMatrix>Non-linear least squares problems have a special structure which can be taken advantage of for optimization.UnconstrainedLeastSquaresSchur<S extends DMatrix>A variant onUnconstrainedLeastSquaresfor solving large scale systems which can be simplified using the Schur Complement.Optimization algorithm which seeks to minimize F(X) ∈ ℜ and X ∈ ℜNPerforms common optimization tasks.