Uses of Interface
de.labathome.trustconstr.interfaces.LinearOperator

Packages that use LinearOperator

Package	Description
de.labathome.trustconstr
de.labathome.trustconstr.interfaces
de.labathome.trustconstr.sparse

Uses of LinearOperator in de.labathome.trustconstr

Methods in de.labathome.trustconstr that return LinearOperator

Modifier and Type	Method	Description
LinearOperator	LagrangianHessian.apply(Matrix x, double[] vEq, double[] vIneq)
static LinearOperator	NumDiff.approxDerivativeAsLinearOperator(BiFunction<Matrix,Object,Matrix> fun, Matrix x0, Matrix f0, FiniteDifferenceOptions options, Object args)	Strict scipy approx_derivative(..., as_linear_operator=True) counterpart: returns a matrix-free LinearOperator that applies the FD Jacobian J(x0) * p on demand.
static final LinearOperator	EqualityConstrainedSQP.defaultScaling(long n)	Default scaling: returns the n x n identity, i.e. an unscaled SQP step.
LinearOperator	BarrierSubproblem.lagrangianHessian(Matrix z, Matrix v)	Full augmented Lagrangian Hessian, block-diagonal:
LinearOperator	BarrierSubproblem.lagrHessX(Matrix z, Matrix v)	Lagrangian Hessian with respect to x (the Hx block).
static LinearOperator	NumDiff.linearOperatorDifference(Function<Matrix,Matrix> fun, Matrix x0, Matrix f0, Matrix relStep, FiniteDifferenceMethod method)	Build a LinearOperator that applies the FD Jacobian J(x0)*p on demand, without materialising the full Jacobian.
static LinearOperator[]	Projections.projections(Matrix A)	Convenience overload: auto-select factorisation method, defaults for orthogonality / refinement / numerical-zero tolerances.
static LinearOperator[]	Projections.projections(Matrix A, ProjectionMethod method)	Convenience overload with an explicit factorisation method.
static LinearOperator[]	Projections.projections(Matrix A, ProjectionMethod method, double orthTol)	Convenience overload exposing the orthogonality tolerance.
static LinearOperator[]	Projections.projections(Matrix A, ProjectionMethod method, double orthTol, int maxRefine)	Convenience overload exposing the maximum number of refinement iterations.
static LinearOperator[]	Projections.projections(Matrix A, ProjectionMethod method, double orthTol, int maxRefine, double tolerance)	Return three linear operators related with a given matrix A.

Methods in de.labathome.trustconstr with parameters of type LinearOperator

Modifier and Type	Method	Description
static StatefulResult	EqualityConstrainedSQP.eqSQP(IFunctionAndConstraint funAndConstr, IGradientAndJacobian gradAndJac, LagrangeHessian lagrHess, Matrix x0, double fun0, Matrix grad0, Matrix constr0, Matrix jac0, StoppingCriterion stopCrit, State state, double initialPenalty, double initialTrustRadius, ProjectionMethod factorizationMethod, Matrix trustLb, Matrix trustUb, LinearOperator scaling)	Solve a nonlinear equality-constrained problem using trust-region SQP.
static CGInfo	QPSubproblem.projectedCG(LinearOperator H, Matrix c, Object Z, Object Y, Matrix b)	Solve the equality-constrained quadratic program
static CGInfo	QPSubproblem.projectedCG(LinearOperator H, Matrix c, Object Z, Object Y, Matrix b, double trustRadius, double[] lb, double[] ub, double tolerance)	Solve EQP problem with projected CG method.
static CGInfo	QPSubproblem.projectedCG(LinearOperator H, Matrix c, Object Z, Object Y, Matrix b, double trustRadius, double[] lb, double[] ub, double tolerance, long maxIterations, long maxInfeasibleIterations, boolean returnAll)	Solve the equality-constrained quadratic program

Uses of LinearOperator in de.labathome.trustconstr.interfaces

Methods in de.labathome.trustconstr.interfaces that return LinearOperator

Modifier and Type	Method	Description
LinearOperator	LagrangeHessian.lagrHess(Matrix x, Matrix v)

Uses of LinearOperator in de.labathome.trustconstr.sparse

Methods in de.labathome.trustconstr.sparse that return LinearOperator

Modifier and Type	Method	Description
static LinearOperator	SparseLinearOperator.forMatvec(CSCMatrix a)
static LinearOperator	SparseLinearOperator.forMatvec(CSRMatrix a)
static LinearOperator	SparseLinearOperator.forRmatvec(CSCMatrix a)
static LinearOperator	SparseLinearOperator.forRmatvec(CSRMatrix a)