Uses of Class
de.labathome.trustconstr.records.OptimizeResult

Packages that use OptimizeResult

Package	Description
de.labathome.trustconstr

Uses of OptimizeResult in de.labathome.trustconstr

Methods in de.labathome.trustconstr that return OptimizeResult

Modifier and Type	Method	Description
static <C extends Constraint & Jacobian> OptimizeResult	MinimizeTrustConstr.minimize(Function<Matrix,Double> fun, Matrix x0, C constraint, int maxIter, double xtol, double gtol)	Most general convenience overload: only the objective function is supplied.
static <C extends Constraint & Jacobian> OptimizeResult	MinimizeTrustConstr.minimize(Function<Matrix,Double> fun, Function<Matrix,Matrix> grad, HessianUpdateStrategy strategy, Matrix x0, C constraint, int maxIter, double xtol, double gtol)	Convenience overload accepting any HessianUpdateStrategy (BFGS, SR1, custom).
static <C extends Constraint & Jacobian> OptimizeResult	MinimizeTrustConstr.minimize(Function<Matrix,Double> fun, Function<Matrix,Matrix> grad, Matrix x0, C constraint, int maxIter, double xtol, double gtol)	Convenience overload that approximates the objective Hessian via a fresh BFGS update strategy -- the scipy-default behaviour when hess is omitted from the user call.
static <C extends Constraint & Jacobian> OptimizeResult	MinimizeTrustConstr.minimize(Function<Matrix,Double> fun, Function<Matrix,Matrix> grad, Function<Matrix,Matrix> hess, Matrix x0, C constraint, int maxIter, double xtol, double gtol)	General-purpose entry point: routes to MinimizeTrustConstr.minimizeEqualityConstrained(java.util.function.Function<de.labathome.trustconstr.matrix.Matrix, java.lang.Double>, java.util.function.Function<de.labathome.trustconstr.matrix.Matrix, de.labathome.trustconstr.matrix.Matrix>, java.util.function.Function<de.labathome.trustconstr.matrix.Matrix, de.labathome.trustconstr.matrix.Matrix>, de.labathome.trustconstr.matrix.Matrix, C, int, double, double) when the constraint has only equality rows, and to a TrustRegionInteriorPoint-driven path when any inequality rows are present.
static OptimizeResult	MinimizeTrustConstr.minimize(Function<Matrix,Double> fun, Function<Matrix,Matrix> grad, Function<Matrix,Matrix> hess, Matrix x0, Object[] constraints, int maxIter, double xtol, double gtol)	Multi-constraint entry point: combines the supplied constraints into a CombinedConstraint and dispatches as in the single-constraint overload.
static <C extends Constraint & Jacobian> OptimizeResult	MinimizeTrustConstr.minimizeEqualityConstrained(Function<Matrix,Double> fun, Function<Matrix,Matrix> grad, Function<Matrix,Matrix> hess, Matrix x0, C eq, int maxIter, double xtol, double gtol)	Convenience entry point covering the equality-constrained slice of the trust-constr API: a scalar objective with an explicit gradient and Hessian, subject to optional pure-equality constraints from a single LinearConstraint or NonlinearConstraint.
static OptimizeResult	MinimizeTrustConstr.minimizeTrustConstr(ToDoubleBiFunction<Matrix,Object> fun, Matrix x0, Object args, BiFunction<Matrix,Object,Matrix> grad, BiFunction<Matrix,Object,Matrix> hess, HessianProduct hessp, Bounds bounds, Object constraints, double xTol, double gTol, double barrierTol, Optional<Boolean> sparseJacobian, IterationCallback callback, int maxIter, int verbose, Matrix finiteDifferenceRelStep, double initialConstraintPenalty, double initialTrustRadius, double initialBarrierParameter, double initialBarrierTolerance, ProjectionMethod factorizationMethod, boolean disp)	Minimize a scalar function subject to constraints.
static OptimizeResult	MinimizeTrustConstr.minimizeTrustConstr(ToDoubleBiFunction<Matrix,Object> fun, Matrix x0, Object args, BiFunction<Matrix,Object,Matrix> grad, BiFunction<Matrix,Object,Matrix> hess, HessianProduct hessp, Bounds bounds, Object constraints, double xTol, double gTol, double barrierTol, Optional<Boolean> sparseJacobian, IterationCallback callback, int maxIter, int verbose, Matrix finiteDifferenceRelStep, double initialConstraintPenalty, double initialTrustRadius, double initialBarrierParameter, double initialBarrierTolerance, ProjectionMethod factorizationMethod, boolean disp, ExecutorService workers)	Strict scipy _minimize_trustregion_constr(..., workers=N) counterpart.