#include <alpaqa/problem/type-erased-problem.hpp>

Detailed Description

template<Config Conf>
struct alpaqa::ProblemVTable< Conf >

Struct containing function pointers to all problem functions (like the objective and constraint functions, with their derivatives, and more).

Some default implementations are available. Internal struct, it is used by TypeErasedProblem.

Definition at line 35 of file type-erased-problem.hpp.

Inheritance diagram for ProblemVTable< Conf >:

Collaboration diagram for ProblemVTable< Conf >:

Public Types
using	Box = alpaqa::Box<config_t>
template<class F>
using	optional_function_t = guanaqo::optional_function_t<F, ProblemVTable>
template<class F>
using	required_function_t = guanaqo::required_function_t<F>

Public Member Functions
template<class P>
	ProblemVTable (std::in_place_t, P &p)
	ProblemVTable ()=default

Static Public Member Functions
static real_t	calc_ŷ_dᵀŷ (const void *self, rvec g_ŷ, crvec y, crvec Σ, const ProblemVTable &vtable)
static real_t	default_eval_nonsmooth_objective (const void *, crvec, const ProblemVTable &)
static index_t	default_eval_inactive_indices_res_lna (const void *, real_t, crvec, crvec, rindexvec, const ProblemVTable &)
static void	default_eval_prox_jacobian_diag (const void *, real_t, crvec, rvec, const ProblemVTable &)
static void	default_eval_constraints_jacobian (const void *, crvec, rvec, const ProblemVTable &vtable)
static Sparsity	default_get_constraints_jacobian_sparsity (const void *, const ProblemVTable &vtable)
static void	default_eval_grad_gi (const void *, crvec, index_t, rvec, const ProblemVTable &)
static void	default_eval_lagrangian_hessian_product (const void *, crvec, crvec, real_t, crvec, rvec, const ProblemVTable &)
static void	default_eval_lagrangian_hessian (const void *, crvec, crvec, real_t, rvec, const ProblemVTable &)
static Sparsity	default_get_lagrangian_hessian_sparsity (const void *, const ProblemVTable &vtable)
static void	default_eval_augmented_lagrangian_hessian_product (const void *self, crvec x, crvec y, crvec, real_t scale, crvec v, rvec Hv, const ProblemVTable &vtable)
static void	default_eval_augmented_lagrangian_hessian (const void *self, crvec x, crvec y, crvec, real_t scale, rvec H_values, const ProblemVTable &vtable)
static Sparsity	default_get_augmented_lagrangian_hessian_sparsity (const void *self, const ProblemVTable &vtable)
static real_t	default_eval_objective_and_gradient (const void *self, crvec x, rvec grad_fx, const ProblemVTable &vtable)
static real_t	default_eval_objective_and_constraints (const void *self, crvec x, rvec g, const ProblemVTable &vtable)
static void	default_eval_objective_gradient_and_constraints_gradient_product (const void *self, crvec x, crvec y, rvec grad_f, rvec grad_gxy, const ProblemVTable &vtable)
static void	default_eval_lagrangian_gradient (const void *self, crvec x, crvec y, rvec grad_L, rvec work_n, const ProblemVTable &vtable)
static real_t	default_eval_augmented_lagrangian (const void *self, crvec x, crvec y, crvec Σ, rvec ŷ, const ProblemVTable &vtable)
static void	default_eval_augmented_lagrangian_gradient (const void *self, crvec x, crvec y, crvec Σ, rvec grad_ψ, rvec work_n, rvec work_m, const ProblemVTable &vtable)
static real_t	default_eval_augmented_lagrangian_and_gradient (const void *self, crvec x, crvec y, crvec Σ, rvec grad_ψ, rvec work_n, rvec work_m, const ProblemVTable &vtable)
static const Box &	default_get_variable_bounds (const void *, const ProblemVTable &)
static const Box &	default_get_general_bounds (const void *, const ProblemVTable &)
static void	default_check (const void *, const ProblemVTable &)
static std::string	default_get_name (const void *, const ProblemVTable &)

Public Attributes
required_function_t< void(crvec z, rvec e) const >	eval_projecting_difference_constraints
required_function_t< void(rvec y, real_t M) const >	eval_projection_multipliers
required_function_t< real_t(real_t γ, crvec x, crvec grad_ψ, rvec x̂, rvec p) const >	eval_proximal_gradient_step
required_function_t< real_t(crvec x) const >	eval_objective
required_function_t< void(crvec x, rvec grad_fx) const >	eval_objective_gradient
required_function_t< void(crvec x, rvec gx) const >	eval_constraints
required_function_t< void(crvec x, crvec y, rvec grad_gxy) const >	eval_constraints_gradient_product
optional_function_t< index_t(real_t γ, crvec x, crvec grad_ψ, rindexvec J) const >	eval_inactive_indices_res_lna = default_eval_inactive_indices_res_lna
optional_function_t< void(real_t γ, crvec x, rvec J_diag) const >	eval_prox_jacobian_diag = default_eval_prox_jacobian_diag
optional_function_t< real_t(crvec x) const >	eval_nonsmooth_objective = default_eval_nonsmooth_objective
optional_function_t< void(crvec x, rvec J_values) const >	eval_constraints_jacobian = default_eval_constraints_jacobian
optional_function_t< Sparsity() const >	get_constraints_jacobian_sparsity = default_get_constraints_jacobian_sparsity
optional_function_t< void(crvec x, index_t i, rvec grad_gi) const >	eval_grad_gi = default_eval_grad_gi
optional_function_t< void(crvec x, crvec y, real_t scale, crvec v, rvec Hv) const >	eval_lagrangian_hessian_product = default_eval_lagrangian_hessian_product
optional_function_t< void(crvec x, crvec y, real_t scale, rvec H_values) const >	eval_lagrangian_hessian = default_eval_lagrangian_hessian
optional_function_t< Sparsity() const >	get_lagrangian_hessian_sparsity = default_get_lagrangian_hessian_sparsity
optional_function_t< void(crvec x, crvec y, crvec Σ, real_t scale, crvec v, rvec Hv) const >	eval_augmented_lagrangian_hessian_product = default_eval_augmented_lagrangian_hessian_product
optional_function_t< void(crvec x, crvec y, crvec Σ, real_t scale, rvec H_values) const >	eval_augmented_lagrangian_hessian = default_eval_augmented_lagrangian_hessian
optional_function_t< Sparsity() const >	get_augmented_lagrangian_hessian_sparsity = default_get_augmented_lagrangian_hessian_sparsity
optional_function_t< real_t(crvec x, rvec grad_fx) const >	eval_objective_and_gradient = default_eval_objective_and_gradient
optional_function_t< real_t(crvec x, rvec g) const >	eval_objective_and_constraints = default_eval_objective_and_constraints
optional_function_t< void(crvec x, crvec y, rvec grad_f, rvec grad_gxy) const >	eval_objective_gradient_and_constraints_gradient_product = default_eval_objective_gradient_and_constraints_gradient_product
optional_function_t< void(crvec x, crvec y, rvec grad_L, rvec work_n) const >	eval_lagrangian_gradient = default_eval_lagrangian_gradient
optional_function_t< real_t(crvec x, crvec y, crvec Σ, rvec ŷ) const >	eval_augmented_lagrangian = default_eval_augmented_lagrangian
optional_function_t< void(crvec x, crvec y, crvec Σ, rvec grad_ψ, rvec work_n, rvec work_m) const >	eval_augmented_lagrangian_gradient = default_eval_augmented_lagrangian_gradient
optional_function_t< real_t(crvec x, crvec y, crvec Σ, rvec grad_ψ, rvec work_n, rvec work_m) const >	eval_augmented_lagrangian_and_gradient = default_eval_augmented_lagrangian_and_gradient
optional_function_t< const Box &() const >	get_variable_bounds = default_get_variable_bounds
optional_function_t< const Box &() const >	get_general_bounds = default_get_general_bounds
optional_function_t< void() const >	check = default_check
optional_function_t< std::string() const >	get_name = default_get_name
length_t	n
length_t	m

Member Typedef Documentation

◆ Box

template<Config Conf>

using Box = alpaqa::Box<config_t>

Definition at line 37 of file type-erased-problem.hpp.

◆ optional_function_t

template<Config Conf>

template<class F>

using optional_function_t = guanaqo::optional_function_t<F, ProblemVTable>

Definition at line 40 of file type-erased-problem.hpp.

◆ required_function_t

template<Config Conf>

template<class F>

using required_function_t = guanaqo::required_function_t<F>

Definition at line 42 of file type-erased-problem.hpp.

Constructor & Destructor Documentation

◆ ProblemVTable() [1/2]

template<Config Conf>

template<class P>

ProblemVTable	(	std::in_place_t	,
		P &	p )

inline

Definition at line 306 of file type-erased-problem.hpp.

◆ ProblemVTable() [2/2]

template<Config Conf>

ProblemVTable ( )

default

Member Function Documentation

◆ calc_ŷ_dᵀŷ()

template<Config Conf>

real_t calc_ŷ_dᵀŷ	(	const void *	self,
		rvec	g_ŷ,
		crvec	y,
		crvec	Σ,
		const ProblemVTable< Conf > &	vtable )

inlinestatic

Definition at line 120 of file type-erased-problem.hpp.

◆ default_eval_nonsmooth_objective()

template<Config Conf>

real_t default_eval_nonsmooth_objective	(	const void *	,
		crvec	,
		const ProblemVTable< Conf > &	)

inlinestatic

Definition at line 144 of file type-erased-problem.hpp.

◆ default_eval_inactive_indices_res_lna()

template<Config Conf>

index_t default_eval_inactive_indices_res_lna	(	const void *	,
		real_t	,
		crvec	,
		crvec	,
		rindexvec	,
		const ProblemVTable< Conf > &	)

inlinestatic

Definition at line 147 of file type-erased-problem.hpp.

◆ default_eval_prox_jacobian_diag()

template<Config Conf>

void default_eval_prox_jacobian_diag	(	const void *	,
		real_t	,
		crvec	,
		rvec	,
		const ProblemVTable< Conf > &	)

inlinestatic

Definition at line 151 of file type-erased-problem.hpp.

◆ default_eval_constraints_jacobian()

template<Config Conf>

void default_eval_constraints_jacobian	(	const void *	,
		crvec	,
		rvec	,
		const ProblemVTable< Conf > &	vtable )

inlinestatic

Definition at line 155 of file type-erased-problem.hpp.

◆ default_get_constraints_jacobian_sparsity()

template<Config Conf>

Sparsity default_get_constraints_jacobian_sparsity	(	const void *	,
		const ProblemVTable< Conf > &	vtable )

inlinestatic

Definition at line 160 of file type-erased-problem.hpp.

◆ default_eval_grad_gi()

template<Config Conf>

void default_eval_grad_gi	(	const void *	,
		crvec	,
		index_t	,
		rvec	,
		const ProblemVTable< Conf > &	)

inlinestatic

Definition at line 164 of file type-erased-problem.hpp.

◆ default_eval_lagrangian_hessian_product()

template<Config Conf>

void default_eval_lagrangian_hessian_product	(	const void *	,
		crvec	,
		crvec	,
		real_t	,
		crvec	,
		rvec	,
		const ProblemVTable< Conf > &	)

inlinestatic

Definition at line 167 of file type-erased-problem.hpp.

Here is the caller graph for this function:

◆ default_eval_lagrangian_hessian()

template<Config Conf>

void default_eval_lagrangian_hessian	(	const void *	,
		crvec	,
		crvec	,
		real_t	,
		rvec	,
		const ProblemVTable< Conf > &	)

inlinestatic

Definition at line 171 of file type-erased-problem.hpp.

◆ default_get_lagrangian_hessian_sparsity()

template<Config Conf>

Sparsity default_get_lagrangian_hessian_sparsity	(	const void *	,
		const ProblemVTable< Conf > &	vtable )

inlinestatic

Definition at line 175 of file type-erased-problem.hpp.

◆ default_eval_augmented_lagrangian_hessian_product()

template<Config Conf>

void default_eval_augmented_lagrangian_hessian_product	(	const void *	self,
		crvec	x,
		crvec	y,
		crvec	,
		real_t	scale,
		crvec	v,
		rvec	Hv,
		const ProblemVTable< Conf > &	vtable )

inlinestatic

Definition at line 179 of file type-erased-problem.hpp.

◆ default_eval_augmented_lagrangian_hessian()

template<Config Conf>

void default_eval_augmented_lagrangian_hessian	(	const void *	self,
		crvec	x,
		crvec	y,
		crvec	,
		real_t	scale,
		rvec	H_values,
		const ProblemVTable< Conf > &	vtable )

inlinestatic

Definition at line 188 of file type-erased-problem.hpp.

◆ default_get_augmented_lagrangian_hessian_sparsity()

template<Config Conf>

Sparsity default_get_augmented_lagrangian_hessian_sparsity	(	const void *	self,
		const ProblemVTable< Conf > &	vtable )

inlinestatic

Definition at line 195 of file type-erased-problem.hpp.

◆ default_eval_objective_and_gradient()

template<Config Conf>

real_t default_eval_objective_and_gradient	(	const void *	self,
		crvec	x,
		rvec	grad_fx,
		const ProblemVTable< Conf > &	vtable )

inlinestatic

Implementation:: static real_t default_eval_objective_and_gradient(const void *self, crvec x, rvec grad_fx,

const ProblemVTable &vtable) {

vtable.eval_objective_gradient(self, x, grad_fx);

return vtable.eval_objective(self, x);

}

Definition at line 204 of file type-erased-problem.hpp.

◆ default_eval_objective_and_constraints()

template<Config Conf>

real_t default_eval_objective_and_constraints	(	const void *	self,
		crvec	x,
		rvec	g,
		const ProblemVTable< Conf > &	vtable )

inlinestatic

Implementation:: static real_t default_eval_objective_and_constraints(const void *self, crvec x, rvec g,

const ProblemVTable &vtable) {

vtable.eval_constraints(self, x, g);

return vtable.eval_objective(self, x);

}

Definition at line 213 of file type-erased-problem.hpp.

◆ default_eval_objective_gradient_and_constraints_gradient_product()

template<Config Conf>

void default_eval_objective_gradient_and_constraints_gradient_product	(	const void *	self,
		crvec	x,
		crvec	y,
		rvec	grad_f,
		rvec	grad_gxy,
		const ProblemVTable< Conf > &	vtable )

inlinestatic

Implementation:: static void default_eval_objective_gradient_and_constraints_gradient_product(

const void *self, crvec x, crvec y, rvec grad_f, rvec grad_gxy,

const ProblemVTable &vtable) {

vtable.eval_objective_gradient(self, x, grad_f);

vtable.eval_constraints_gradient_product(self, x, y, grad_gxy);

}

Definition at line 222 of file type-erased-problem.hpp.

◆ default_eval_lagrangian_gradient()

template<Config Conf>

void default_eval_lagrangian_gradient	(	const void *	self,
		crvec	x,
		crvec	y,
		rvec	grad_L,
		rvec	work_n,
		const ProblemVTable< Conf > &	vtable )

inlinestatic

Implementation:: static void default_eval_lagrangian_gradient(const void *self, crvec x, crvec y, rvec grad_L,

rvec work_n, const ProblemVTable &vtable) {

if (y.size() == 0) /* [[unlikely]] */

return vtable.eval_objective_gradient(self, x, grad_L);

vtable.eval_objective_gradient_and_constraints_gradient_product(self, x, y, grad_L, work_n,

vtable);

grad_L += work_n;

}

Definition at line 232 of file type-erased-problem.hpp.

◆ default_eval_augmented_lagrangian()

template<Config Conf>

real_t default_eval_augmented_lagrangian	(	const void *	self,
		crvec	x,
		crvec	y,
		crvec	Σ,
		rvec	ŷ,
		const ProblemVTable< Conf > &	vtable )

inlinestatic

Implementation:: static real_t default_eval_augmented_lagrangian(const void *self, crvec x, crvec y, crvec Σ,

rvec ŷ, const ProblemVTable &vtable) {

if (y.size() == 0) /* [[unlikely]] */

return vtable.eval_objective(self, x);

auto f = vtable.eval_objective_and_constraints(self, x, ŷ, vtable);

auto dᵀŷ = calc_ŷ_dᵀŷ(self, ŷ, y, Σ, vtable);

// ψ(x) = f(x) + ½ dᵀŷ

auto ψ = f + real_t(0.5) * dᵀŷ;

return ψ;

}

Definition at line 244 of file type-erased-problem.hpp.

◆ default_eval_augmented_lagrangian_gradient()

template<Config Conf>

void default_eval_augmented_lagrangian_gradient	(	const void *	self,
		crvec	x,
		crvec	y,
		crvec	Σ,
		rvec	grad_ψ,
		rvec	work_n,
		rvec	work_m,
		const ProblemVTable< Conf > &	vtable )

inlinestatic

Implementation:: static void default_eval_augmented_lagrangian_gradient(const void *self, crvec x, crvec y,

crvec Σ, rvec grad_ψ, rvec work_n,

rvec work_m,

const ProblemVTable &vtable) {

if (y.size() == 0) /* [[unlikely]] */ {

vtable.eval_objective_gradient(self, x, grad_ψ);

} else {

vtable.eval_constraints(self, x, work_m);

(void)calc_ŷ_dᵀŷ(self, work_m, y, Σ, vtable);

vtable.eval_lagrangian_gradient(self, x, work_m, grad_ψ, work_n, vtable);

}

}

Definition at line 259 of file type-erased-problem.hpp.

◆ default_eval_augmented_lagrangian_and_gradient()

template<Config Conf>

real_t default_eval_augmented_lagrangian_and_gradient	(	const void *	self,
		crvec	x,
		crvec	y,
		crvec	Σ,
		rvec	grad_ψ,
		rvec	work_n,
		rvec	work_m,
		const ProblemVTable< Conf > &	vtable )

inlinestatic

Implementation:: static real_t default_eval_augmented_lagrangian_and_gradient(const void *self, crvec x, crvec y,

crvec Σ, rvec grad_ψ, rvec work_n,

rvec work_m,

const ProblemVTable &vtable) {

if (y.size() == 0) /* [[unlikely]] */

return vtable.eval_objective_and_gradient(self, x, grad_ψ, vtable);

auto &ŷ = work_m;

// ψ(x) = f(x) + ½ dᵀŷ

auto f = vtable.eval_objective_and_constraints(self, x, ŷ, vtable);

auto dᵀŷ = calc_ŷ_dᵀŷ(self, ŷ, y, Σ, vtable);

auto ψ = f + real_t(0.5) * dᵀŷ;

// ∇ψ(x) = ∇f(x) + ∇g(x) ŷ

vtable.eval_lagrangian_gradient(self, x, ŷ, grad_ψ, work_n, vtable);

return ψ;

}

Definition at line 275 of file type-erased-problem.hpp.

◆ default_get_variable_bounds()

template<Config Conf>

const Box & default_get_variable_bounds	(	const void *	,
		const ProblemVTable< Conf > &	)

inlinestatic

Definition at line 292 of file type-erased-problem.hpp.

◆ default_get_general_bounds()

template<Config Conf>

const Box & default_get_general_bounds	(	const void *	,
		const ProblemVTable< Conf > &	)

inlinestatic

Definition at line 295 of file type-erased-problem.hpp.

◆ default_check()

template<Config Conf>

void default_check	(	const void *	,
		const ProblemVTable< Conf > &	)

inlinestatic

Definition at line 298 of file type-erased-problem.hpp.

◆ default_get_name()

template<Config Conf>

std::string default_get_name	(	const void *	,
		const ProblemVTable< Conf > &	)

inlinestatic

Definition at line 299 of file type-erased-problem.hpp.

Member Data Documentation

◆ eval_projecting_difference_constraints

template<Config Conf>

required_function_t<void(crvec z, rvec e) const> eval_projecting_difference_constraints

Definition at line 48 of file type-erased-problem.hpp.

◆ eval_projection_multipliers

template<Config Conf>

required_function_t<void(rvec y, real_t M) const> eval_projection_multipliers

Definition at line 50 of file type-erased-problem.hpp.

◆ eval_proximal_gradient_step

template<Config Conf>

required_function_t<real_t(real_t γ, crvec x, crvec grad_ψ, rvec x̂, rvec p) const> eval_proximal_gradient_step

Definition at line 52 of file type-erased-problem.hpp.

◆ eval_objective

template<Config Conf>

required_function_t<real_t(crvec x) const> eval_objective

Definition at line 54 of file type-erased-problem.hpp.

◆ eval_objective_gradient

template<Config Conf>

required_function_t<void(crvec x, rvec grad_fx) const> eval_objective_gradient

Definition at line 56 of file type-erased-problem.hpp.

◆ eval_constraints

template<Config Conf>

required_function_t<void(crvec x, rvec gx) const> eval_constraints

Definition at line 58 of file type-erased-problem.hpp.

◆ eval_constraints_gradient_product

template<Config Conf>

required_function_t<void(crvec x, crvec y, rvec grad_gxy) const> eval_constraints_gradient_product

Definition at line 60 of file type-erased-problem.hpp.

◆ eval_inactive_indices_res_lna

template<Config Conf>

optional_function_t<index_t(real_t γ, crvec x, crvec grad_ψ, rindexvec J) const> eval_inactive_indices_res_lna = default_eval_inactive_indices_res_lna

Definition at line 62 of file type-erased-problem.hpp.

◆ eval_prox_jacobian_diag

template<Config Conf>

optional_function_t<void(real_t γ, crvec x, rvec J_diag) const> eval_prox_jacobian_diag = default_eval_prox_jacobian_diag

Definition at line 64 of file type-erased-problem.hpp.

◆ eval_nonsmooth_objective

template<Config Conf>

optional_function_t<real_t(crvec x) const> eval_nonsmooth_objective = default_eval_nonsmooth_objective

Definition at line 66 of file type-erased-problem.hpp.

◆ eval_constraints_jacobian

template<Config Conf>

optional_function_t<void(crvec x, rvec J_values) const> eval_constraints_jacobian = default_eval_constraints_jacobian

Definition at line 70 of file type-erased-problem.hpp.

◆ get_constraints_jacobian_sparsity

template<Config Conf>

optional_function_t<Sparsity() const> get_constraints_jacobian_sparsity = default_get_constraints_jacobian_sparsity

Definition at line 72 of file type-erased-problem.hpp.

◆ eval_grad_gi

template<Config Conf>

optional_function_t<void(crvec x, index_t i, rvec grad_gi) const> eval_grad_gi = default_eval_grad_gi

Definition at line 74 of file type-erased-problem.hpp.

◆ eval_lagrangian_hessian_product

template<Config Conf>

optional_function_t<void(crvec x, crvec y, real_t scale, crvec v, rvec Hv) const> eval_lagrangian_hessian_product = default_eval_lagrangian_hessian_product

Definition at line 76 of file type-erased-problem.hpp.

◆ eval_lagrangian_hessian

template<Config Conf>

optional_function_t<void(crvec x, crvec y, real_t scale, rvec H_values) const> eval_lagrangian_hessian = default_eval_lagrangian_hessian

Definition at line 78 of file type-erased-problem.hpp.

◆ get_lagrangian_hessian_sparsity

template<Config Conf>

optional_function_t<Sparsity() const> get_lagrangian_hessian_sparsity = default_get_lagrangian_hessian_sparsity

Definition at line 80 of file type-erased-problem.hpp.

◆ eval_augmented_lagrangian_hessian_product

template<Config Conf>

optional_function_t<void(crvec x, crvec y, crvec Σ, real_t scale, crvec v, rvec Hv) const> eval_augmented_lagrangian_hessian_product = default_eval_augmented_lagrangian_hessian_product

Definition at line 82 of file type-erased-problem.hpp.

◆ eval_augmented_lagrangian_hessian

template<Config Conf>

optional_function_t<void(crvec x, crvec y, crvec Σ, real_t scale, rvec H_values) const> eval_augmented_lagrangian_hessian = default_eval_augmented_lagrangian_hessian

Definition at line 84 of file type-erased-problem.hpp.

◆ get_augmented_lagrangian_hessian_sparsity

template<Config Conf>

optional_function_t<Sparsity() const> get_augmented_lagrangian_hessian_sparsity = default_get_augmented_lagrangian_hessian_sparsity

Definition at line 86 of file type-erased-problem.hpp.

◆ eval_objective_and_gradient

template<Config Conf>

optional_function_t<real_t(crvec x, rvec grad_fx) const> eval_objective_and_gradient = default_eval_objective_and_gradient

Definition at line 90 of file type-erased-problem.hpp.

◆ eval_objective_and_constraints

template<Config Conf>

optional_function_t<real_t(crvec x, rvec g) const> eval_objective_and_constraints = default_eval_objective_and_constraints

Definition at line 92 of file type-erased-problem.hpp.

◆ eval_objective_gradient_and_constraints_gradient_product

template<Config Conf>

optional_function_t<void(crvec x, crvec y, rvec grad_f, rvec grad_gxy) const> eval_objective_gradient_and_constraints_gradient_product = default_eval_objective_gradient_and_constraints_gradient_product

Definition at line 94 of file type-erased-problem.hpp.

◆ eval_lagrangian_gradient

template<Config Conf>

optional_function_t<void(crvec x, crvec y, rvec grad_L, rvec work_n) const> eval_lagrangian_gradient = default_eval_lagrangian_gradient

Definition at line 98 of file type-erased-problem.hpp.

◆ eval_augmented_lagrangian

template<Config Conf>

optional_function_t<real_t(crvec x, crvec y, crvec Σ, rvec ŷ) const> eval_augmented_lagrangian = default_eval_augmented_lagrangian

Definition at line 100 of file type-erased-problem.hpp.

◆ eval_augmented_lagrangian_gradient

template<Config Conf>

optional_function_t<void(crvec x, crvec y, crvec Σ, rvec grad_ψ, rvec work_n, rvec work_m) const> eval_augmented_lagrangian_gradient = default_eval_augmented_lagrangian_gradient

Definition at line 102 of file type-erased-problem.hpp.

◆ eval_augmented_lagrangian_and_gradient

template<Config Conf>

optional_function_t<real_t(crvec x, crvec y, crvec Σ, rvec grad_ψ, rvec work_n, rvec work_m) const> eval_augmented_lagrangian_and_gradient = default_eval_augmented_lagrangian_and_gradient

Definition at line 104 of file type-erased-problem.hpp.

◆ get_variable_bounds

template<Config Conf>

optional_function_t<const Box &() const> get_variable_bounds = default_get_variable_bounds

Definition at line 108 of file type-erased-problem.hpp.

◆ get_general_bounds

template<Config Conf>

optional_function_t<const Box &() const> get_general_bounds = default_get_general_bounds

Definition at line 110 of file type-erased-problem.hpp.

◆ check

template<Config Conf>

optional_function_t<void() const> check = default_check

Definition at line 114 of file type-erased-problem.hpp.

◆ get_name

template<Config Conf>

optional_function_t<std::string() const> get_name = default_get_name

Definition at line 116 of file type-erased-problem.hpp.

◆ n

template<Config Conf>

length_t n

Definition at line 303 of file type-erased-problem.hpp.

◆ m

template<Config Conf>

length_t m

Definition at line 303 of file type-erased-problem.hpp.

The documentation for this struct was generated from the following file:

src/alpaqa/include/alpaqa/problem/type-erased-problem.hpp

Detailed Description

Public Types

Public Member Functions

Static Public Member Functions

Public Attributes

Member Typedef Documentation

◆ Box

◆ optional_function_t

◆ required_function_t

Constructor & Destructor Documentation

◆ ProblemVTable() [1/2]

◆ ProblemVTable() [2/2]

Member Function Documentation

◆ calc_ŷ_dᵀŷ()

◆ default_eval_nonsmooth_objective()

◆ default_eval_inactive_indices_res_lna()

◆ default_eval_prox_jacobian_diag()

◆ default_eval_constraints_jacobian()

◆ default_get_constraints_jacobian_sparsity()

◆ default_eval_grad_gi()

◆ default_eval_lagrangian_hessian_product()

◆ default_eval_lagrangian_hessian()

◆ default_get_lagrangian_hessian_sparsity()

◆ default_eval_augmented_lagrangian_hessian_product()

◆ default_eval_augmented_lagrangian_hessian()

◆ default_get_augmented_lagrangian_hessian_sparsity()

◆ default_eval_objective_and_gradient()

◆ default_eval_objective_and_constraints()

◆ default_eval_objective_gradient_and_constraints_gradient_product()

◆ default_eval_lagrangian_gradient()

◆ default_eval_augmented_lagrangian()

◆ default_eval_augmented_lagrangian_gradient()

◆ default_eval_augmented_lagrangian_and_gradient()

◆ default_get_variable_bounds()

◆ default_get_general_bounds()

◆ default_check()

◆ default_get_name()

Member Data Documentation

◆ eval_projecting_difference_constraints

◆ eval_projection_multipliers

◆ eval_proximal_gradient_step

◆ eval_objective

◆ eval_objective_gradient

◆ eval_constraints

◆ eval_constraints_gradient_product

◆ eval_inactive_indices_res_lna

◆ eval_prox_jacobian_diag

◆ eval_nonsmooth_objective

◆ eval_constraints_jacobian

◆ get_constraints_jacobian_sparsity

◆ eval_grad_gi

◆ eval_lagrangian_hessian_product

◆ eval_lagrangian_hessian

◆ get_lagrangian_hessian_sparsity

◆ eval_augmented_lagrangian_hessian_product

◆ eval_augmented_lagrangian_hessian

◆ get_augmented_lagrangian_hessian_sparsity

◆ eval_objective_and_gradient

◆ eval_objective_and_constraints

◆ eval_objective_gradient_and_constraints_gradient_product

◆ eval_lagrangian_gradient

◆ eval_augmented_lagrangian

◆ eval_augmented_lagrangian_gradient

◆ eval_augmented_lagrangian_and_gradient

◆ get_variable_bounds

◆ get_general_bounds

◆ check

◆ get_name

◆ n

◆ m