Uses of Interface
org.ddogleg.chainrule.CROperatorForward

Packages that use CROperatorForward

Package	Description
org.ddogleg.chainrule
org.ddogleg.chainrule.ops

Uses of CROperatorForward in org.ddogleg.chainrule

Subinterfaces of CROperatorForward in org.ddogleg.chainrule

Modifier and Type	Interface	Description
interface	CROperatorBackwardsGrad<T>	Computes the gradient in the backwards direction and is used when optimizing.
interface	CROperatorBackwardsJac<T>	Computes the Jacobian in the backwards direction and is used when optimizing.

Methods in org.ddogleg.chainrule with parameters of type CROperatorForward

Modifier and Type	Method	Description
void	GradientNumerical_F64.setFunction(List<CRArray<double[]>> inputs, CROperatorForward<double[]> function)
void	GradientNumerical.setFunction(List<CRArray<T>> inputs, CROperatorForward<T> function)	Sets the function which will be differentiated and other parameters.
void	JacobianNumerical_F64.setFunction(List<CRArray<double[]>> inputs, CROperatorForward<double[]> function)
void	JacobianNumerical.setFunction(List<CRArray<T>> inputs, CROperatorForward<T> function)	Specifies the function which will be differentiated.

Uses of CROperatorForward in org.ddogleg.chainrule.ops

Classes in org.ddogleg.chainrule.ops that implement CROperatorForward

Modifier and Type	Class	Description
class	CRErrorHuberNorm	This is a Huber Loss function adapted to return the error and is triggered based on the F-Norm of the error vector instead of individual elements.
class	CRErrorVectorSW	Computes the error between a known prior and an estimated value.
class	CRLossHuber	Huber Loss is a robust loss function that is less sensitive to outliers than the squared error loss.
class	CROperatorBilinearND	General purpose operator for blending 4 knots into an N-D output, each knot stores N-coefficients for a yet to be defined function.
class	CROperatorBilinearPolyND	Implementation of CROperatorBilinearND where the knots are general polynomials.
class	CROperatorBilinearSplineND	Implementation of CROperatorBilinearND where the knots are also splines which use linear interpolation.
class	CROperatorClampLower	Holds a value at or above a floor: output = max(input, minimum).
class	CROperatorConcat	Concatenates its inputs into one output, in the order they were declared.
class	CROperatorDivide	Element-wise division of two vectors
class	CROperatorDivideVS	Divides a vector by a scalar value.
class	CROperatorDivideVSDamped	Divides a vector by a damped scalar: a[i]/(beta + b).
class	CROperatorGridBilinearWeights	Turns a pixel into the 4 bilinear weights of the cell it lands in, ready to be blended by CROperatorBilinearPolyND.
class	CROperatorMeanVector	Mean of count values read at a fixed stride from one input vector.
class	CROperatorMult	Element-wise multiplication of two vectors
class	CROperatorMultVS	Multiplies a vector by a scalar value.
class	CROperatorPlus	Adds two arrays of equal length together.
class	CROperatorPlusAB	Adds two vectors with scalar coefficients: 'output = alphaV0 + betaV1'
class	CROperatorRemapParams	Remaps parameters from an input format into an output format.
class	CRPenaltyL2	Penalizes a contiguous run of parameters, one residual per parameter, each weight*value.