Uses of Package
org.ddogleg.optimization.loss

Packages that use org.ddogleg.optimization.loss

Package	Description
org.ddogleg.optimization
org.ddogleg.optimization.lm
org.ddogleg.optimization.loss
org.ddogleg.optimization.trustregion

Classes in org.ddogleg.optimization.loss used by org.ddogleg.optimization

Class	Description
LossFunction	Residual loss function for regression.
LossFunctionGradient	Analytical gradient for a function that implements LossFunction.

Classes in org.ddogleg.optimization.loss used by org.ddogleg.optimization.lm

Class	Description
LossFunction	Residual loss function for regression.
LossFunctionGradient	Analytical gradient for a function that implements LossFunction.

Classes in org.ddogleg.optimization.loss used by org.ddogleg.optimization.loss

Class	Description
LossCauchy	Loss function inspired by the Cauchy distribution, a.k.a Lorentzian loss function.
LossFunction	Residual loss function for regression.
LossFunctionBase	Base class for loss functions.
LossFunctionGradient	Analytical gradient for a function that implements LossFunction.
LossHuber	Huber Loss is a robust loss function that is less sensitive to outliers than the squared error loss.
LossHuberSmooth	Smooth approximation to the huber loss [1].
LossIdentity	This loss function simply passes through the computed "residual".
LossIRLS.ComputeWeights
LossSquared	Squared error loss function.
LossTukey	Tukey loss (Tukey's biweight function) has similar behavior to LossHuber but is less sensitive to outliers because they contribute nothing to the loss.
LossWeighted	A weighted least squares cost function.

Classes in org.ddogleg.optimization.loss used by org.ddogleg.optimization.trustregion

Class	Description
LossFunction	Residual loss function for regression.
LossFunctionGradient	Analytical gradient for a function that implements LossFunction.