Uses of Interface
org.ddogleg.optimization.functions.FunctionNtoMxN

Packages that use FunctionNtoMxN

Package	Description
org.ddogleg.optimization
org.ddogleg.optimization.derivative
org.ddogleg.optimization.lm
org.ddogleg.optimization.trustregion
org.ddogleg.optimization.wrap

Uses of FunctionNtoMxN in org.ddogleg.optimization

Methods in org.ddogleg.optimization that return FunctionNtoMxN

Modifier and Type	Method	Description
static <D extends DMatrix> FunctionNtoMxN<D>	FactoryNumericalDerivative.jacobianForwards(FunctionNtoM func, Class<D> type)

Methods in org.ddogleg.optimization with parameters of type FunctionNtoMxN

Modifier and Type	Method	Description
static <S extends DMatrix> boolean	DerivativeChecker.jacobian(FunctionNtoM func, FunctionNtoMxN<S> jacobian, double[] param, double tol)
static <S extends DMatrix> boolean	DerivativeChecker.jacobian(FunctionNtoM func, FunctionNtoMxN<S> jacobian, double[] param, double tol, double differenceScale)
static <S extends DMatrix> void	DerivativeChecker.jacobianPrint(FunctionNtoM func, FunctionNtoMxN<S> jacobian, double[] param, double tol)
static <S extends DMatrix> void	DerivativeChecker.jacobianPrint(FunctionNtoM func, FunctionNtoMxN<S> jacobian, double[] param, double tol, double differenceScale)
static <S extends DMatrix> void	DerivativeChecker.jacobianPrintR(FunctionNtoM func, FunctionNtoMxN<S> jacobian, double[] param, double tol)	Prints out the difference using a relative error threshold
static <S extends DMatrix> void	DerivativeChecker.jacobianPrintR(FunctionNtoM func, FunctionNtoMxN<S> jacobian, double[] param, double tol, double differenceScale)
static <S extends DMatrix> boolean	DerivativeChecker.jacobianR(FunctionNtoM func, FunctionNtoMxN<S> jacobian, double[] param, double tol)	Checks the jacobian using a relative error threshold.
static <S extends DMatrix> boolean	DerivativeChecker.jacobianR(FunctionNtoM func, FunctionNtoMxN<S> jacobian, double[] param, double tol, double differenceScale)	Checks the jacobian using a relative error threshold.

Uses of FunctionNtoMxN in org.ddogleg.optimization.derivative

Classes in org.ddogleg.optimization.derivative that implement FunctionNtoMxN

Modifier and Type	Class	Description
class	NumericalJacobianFB	Finite difference numerical jacobian calculation using the forward+backwards equation.
class	NumericalJacobianForward_DDRM	Finite difference numerical gradient calculation using forward equation.
class	NumericalJacobianForward_DSCC	Finite difference numerical gradient calculation using forward equation.

Uses of FunctionNtoMxN in org.ddogleg.optimization.lm

Fields in org.ddogleg.optimization.lm declared as FunctionNtoMxN

Modifier and Type	Field	Description
protected FunctionNtoMxN<S>	UnconLeastSqLevenbergMarquardt_F64.functionJacobian

Methods in org.ddogleg.optimization.lm with parameters of type FunctionNtoMxN

Modifier and Type	Method	Description
void	UnconLeastSqLevenbergMarquardt_F64.setFunction(FunctionNtoM function, @Nullable FunctionNtoMxN<S> jacobian)

Uses of FunctionNtoMxN in org.ddogleg.optimization.trustregion

Fields in org.ddogleg.optimization.trustregion declared as FunctionNtoMxN

Modifier and Type	Field	Description
protected FunctionNtoMxN<S>	UnconLeastSqTrustRegion_F64.functionJacobian

Methods in org.ddogleg.optimization.trustregion with parameters of type FunctionNtoMxN

Modifier and Type	Method	Description
void	UnconLeastSqTrustRegion_F64.setFunction(FunctionNtoM function, @Nullable FunctionNtoMxN<S> jacobian)

Uses of FunctionNtoMxN in org.ddogleg.optimization.wrap

Classes in org.ddogleg.optimization.wrap that implement FunctionNtoMxN

Modifier and Type	Class	Description
class	SchurJacobian_to_NtoMxN<T extends DMatrix>	Provides a way to convert a regular Jacobian matrix into a SchurJacobian
static class	SchurJacobian_to_NtoMxN.DDRM
static class	SchurJacobian_to_NtoMxN.DSCC

Constructors in org.ddogleg.optimization.wrap with parameters of type FunctionNtoMxN

Modifier	Constructor	Description
	Individual_to_CoupledJacobian(FunctionNtoM func, FunctionNtoMxN<S> jacobian)
	LsToNonLinearDeriv(FunctionNtoM func, FunctionNtoMxN<S> deriv)