#include <alpaqa/include/alpaqa/problem/box-constr-problem.hpp>

Detailed Description

template<Config Conf>
class alpaqa::BoxConstrProblem< Conf >

Examples: C++/CustomCppProblem/main.cpp, and C++/FortranProblem/main.cpp.

Definition at line 10 of file box-constr-problem.hpp.

Inheritance diagram for BoxConstrProblem< Conf >:

Collaboration diagram for BoxConstrProblem< Conf >:

Public Types
using	Box = alpaqa::Box< config_t >

Public Member Functions
	BoxConstrProblem (length_t n, length_t m)

	BoxConstrProblem (Box C, Box D, vec l1_reg=vec(0))

	BoxConstrProblem (const BoxConstrProblem &)=default

BoxConstrProblem &	operator= (const BoxConstrProblem &)=default

	BoxConstrProblem (BoxConstrProblem &&) noexcept=default

BoxConstrProblem &	operator= (BoxConstrProblem &&) noexcept=default

length_t	get_n () const
	Number of decision variables, n.

length_t	get_m () const
	Number of constraints, m.

real_t	eval_prox_grad_step (real_t γ, crvec x, crvec grad_ψ, rvec x̂, rvec p) const

void	eval_proj_diff_g (crvec z, rvec p) const

void	eval_proj_multipliers (rvec y, real_t M) const

const Box &	get_box_C () const

const Box &	get_box_D () const

index_t	eval_inactive_indices_res_lna (real_t γ, crvec x, crvec grad_ψ, rindexvec J) const

void	check () const

Static Public Member Functions
static real_t	eval_proj_grad_step_box (const Box &C, real_t γ, crvec x, crvec grad_ψ, rvec x̂, rvec p)
	Projected gradient step for rectangular box C.

static void	eval_prox_grad_step_box_l1_impl (const Box &C, const auto &λ, real_t γ, crvec x, crvec grad_ψ, rvec x̂, rvec p)
	Proximal gradient step for rectangular box C with ℓ₁-regularization.

static real_t	eval_prox_grad_step_box_l1 (const Box &C, const auto &λ, real_t γ, crvec x, crvec grad_ψ, rvec x̂, rvec p)
	Proximal gradient step for rectangular box C with ℓ₁-regularization.

static real_t	eval_prox_grad_step_box_l1_scal (const Box &C, real_t λ, real_t γ, crvec x, crvec grad_ψ, rvec x̂, rvec p)
	Proximal gradient step for rectangular box C with ℓ₁-regularization.

static void	eval_proj_multipliers_box (const Box &D, rvec y, real_t M, index_t penalty_alm_split)

Public Attributes
length_t	n
	Number of decision variables, dimension of x.

length_t	m
	Number of constraints, dimension of g(x) and z.

index_t	penalty_alm_split = 0
	Components of the constraint function with indices below this number are handled using a quadratic penalty method rather than using an augmented Lagrangian method.

Box	C {this->n}
	Constraints of the decision variables, \( x \in C \).

Box	D {this->m}
	Other constraints, \( g(x) \in D \).

vec	l1_reg {}
	\( \ell_1 \) (1-norm) regularization parameter.

Member Typedef Documentation

◆ Box

using Box = alpaqa::Box<config_t>

Definition at line 13 of file box-constr-problem.hpp.

Constructor & Destructor Documentation

◆ BoxConstrProblem() [1/4]

BoxConstrProblem	(	length_t	n,
		length_t	m
	)

inline

Parameters

n	Number of decision variables
m	Number of constraints

Definition at line 26 of file box-constr-problem.hpp.

◆ BoxConstrProblem() [2/4]

BoxConstrProblem	(	Box	C,
		Box	D,
		vec	l1_reg = `vec(0)`
	)

inline

Definition at line 30 of file box-constr-problem.hpp.

◆ BoxConstrProblem() [3/4]

BoxConstrProblem ( const BoxConstrProblem< Conf > & )

default

◆ BoxConstrProblem() [4/4]

BoxConstrProblem ( BoxConstrProblem< Conf > && )

defaultnoexcept

Member Function Documentation

◆ operator=() [1/2]

BoxConstrProblem & operator= ( const BoxConstrProblem< Conf > & )

default

◆ operator=() [2/2]

BoxConstrProblem & operator= ( BoxConstrProblem< Conf > && )

defaultnoexcept

◆ get_n()

length_t get_n ( ) const

inline

Number of decision variables, n.

Definition at line 50 of file box-constr-problem.hpp.

◆ get_m()

length_t get_m ( ) const

inline

Number of constraints, m.

Definition at line 52 of file box-constr-problem.hpp.

◆ eval_proj_grad_step_box()

static real_t eval_proj_grad_step_box	(	const Box &	C,
		real_t	γ,
		crvec	x,
		crvec	grad_ψ,
		rvec	x̂,
		rvec	p
	)

inlinestatic

Projected gradient step for rectangular box C.

\[ \begin{aligned} \hat x &= \Pi_C(x - \gamma\nabla\psi(x)) \\ p &= \hat x - x \\ &= \max(\underline x - x, \;\min(-\gamma\nabla\psi(x), \overline x - x) \end{aligned} \]

Definition at line 59 of file box-constr-problem.hpp.

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◆ eval_prox_grad_step_box_l1_impl()

static void eval_prox_grad_step_box_l1_impl	(	const Box &	C,
		const auto &	λ,
		real_t	γ,
		crvec	x,
		crvec	grad_ψ,
		rvec	x̂,
		rvec	p
	)

inlinestatic

Proximal gradient step for rectangular box C with ℓ₁-regularization.

\[ \begin{aligned} h(x) &= \|x\|_1 + \delta_C(x) \\ \hat x &= \prox_{\gamma h}(x - \gamma\nabla\psi(x)) \\ &= -\max\big( x - \overline x, \;\min\big( x - \underline x, \;\min\big( \gamma(\nabla\psi(x) + \lambda), \;\max\big( \gamma(\nabla\psi(x) - \lambda), x \big) \big) \big) \big) \end{aligned} \]

Definition at line 82 of file box-constr-problem.hpp.

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◆ eval_prox_grad_step_box_l1()

static real_t eval_prox_grad_step_box_l1	(	const Box &	C,
		const auto &	λ,
		real_t	γ,
		crvec	x,
		crvec	grad_ψ,
		rvec	x̂,
		rvec	p
	)

inlinestatic

Proximal gradient step for rectangular box C with ℓ₁-regularization.

\[ \begin{aligned} h(x) &= \|x\|_1 + \delta_C(x) \\ \hat x &= \prox_{\gamma h}(x - \gamma\nabla\psi(x)) \\ &= -\max\big( x - \overline x, \;\min\big( x - \underline x, \;\min\big( \gamma(\nabla\psi(x) + \lambda), \;\max\big( \gamma(\nabla\psi(x) - \lambda), x \big) \big) \big) \big) \end{aligned} \]

Definition at line 91 of file box-constr-problem.hpp.

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◆ eval_prox_grad_step_box_l1_scal()

static real_t eval_prox_grad_step_box_l1_scal	(	const Box &	C,
		real_t	λ,
		real_t	γ,
		crvec	x,
		crvec	grad_ψ,
		rvec	x̂,
		rvec	p
	)

inlinestatic

Proximal gradient step for rectangular box C with ℓ₁-regularization.

\[ \begin{aligned} h(x) &= \|x\|_1 + \delta_C(x) \\ \hat x &= \prox_{\gamma h}(x - \gamma\nabla\psi(x)) \\ &= -\max\big( x - \overline x, \;\min\big( x - \underline x, \;\min\big( \gamma(\nabla\psi(x) + \lambda), \;\max\big( \gamma(\nabla\psi(x) - \lambda), x \big) \big) \big) \big) \end{aligned} \]

Definition at line 98 of file box-constr-problem.hpp.

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◆ eval_prox_grad_step()

real_t eval_prox_grad_step	(	real_t	γ,
		crvec	x,
		crvec	grad_ψ,
		rvec	x̂,
		rvec	p
	)		const

inline

See also: TypeErasedProblem::eval_prox_grad_step

Definition at line 107 of file box-constr-problem.hpp.

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◆ eval_proj_diff_g()

void eval_proj_diff_g	(	crvec	z,
		rvec	p
	)		const

inline

See also: TypeErasedProblem::eval_proj_diff_g

Definition at line 117 of file box-constr-problem.hpp.

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◆ eval_proj_multipliers_box()

static void eval_proj_multipliers_box	(	const Box &	D,
		rvec	y,
		real_t	M,
		index_t	penalty_alm_split
	)

inlinestatic

Definition at line 119 of file box-constr-problem.hpp.

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◆ eval_proj_multipliers()

void eval_proj_multipliers	(	rvec	y,
		real_t	M
	)		const

inline

See also: TypeErasedProblem::eval_proj_multipliers

Definition at line 141 of file box-constr-problem.hpp.

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◆ get_box_C()

const Box & get_box_C ( ) const

inline

See also: TypeErasedProblem::get_box_C

Definition at line 146 of file box-constr-problem.hpp.

◆ get_box_D()

const Box & get_box_D ( ) const

inline

See also: TypeErasedProblem::get_box_D

Definition at line 148 of file box-constr-problem.hpp.

◆ eval_inactive_indices_res_lna()

index_t eval_inactive_indices_res_lna	(	real_t	γ,
		crvec	x,
		crvec	grad_ψ,
		rindexvec	J
	)		const

inline

See also: TypeErasedProblem::eval_inactive_indices_res_lna

Definition at line 151 of file box-constr-problem.hpp.

◆ check()

void check ( ) const

inline

See also: TypeErasedProblem::check

Definition at line 188 of file box-constr-problem.hpp.

Member Data Documentation

◆ n

length_t n

Number of decision variables, dimension of x.

Examples: C++/CustomCppProblem/main.cpp.

Definition at line 16 of file box-constr-problem.hpp.

◆ m

length_t m

Number of constraints, dimension of g(x) and z.

Examples: C++/CustomCppProblem/main.cpp.

Definition at line 18 of file box-constr-problem.hpp.

◆ penalty_alm_split

index_t penalty_alm_split = 0

Components of the constraint function with indices below this number are handled using a quadratic penalty method rather than using an augmented Lagrangian method.

Specifically, the Lagrange multipliers for these components (which determine the shifts in ALM) are kept at zero.

Definition at line 24 of file box-constr-problem.hpp.

◆ C

Box C {this->n}

Constraints of the decision variables, \( x \in C \).

Examples: C++/CasADi/Rosenbrock/main.cpp.

Definition at line 40 of file box-constr-problem.hpp.

◆ D

Box D {this->m}

Other constraints, \( g(x) \in D \).

Definition at line 42 of file box-constr-problem.hpp.

◆ l1_reg

vec l1_reg {}

\( \ell_1 \) (1-norm) regularization parameter.

Possible dimensions are: \( 0 \) (no regularization), \( 1 \) (a single scalar factor), or \( n \) (a different factor for each variable).

Definition at line 47 of file box-constr-problem.hpp.

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

box-constr-problem.hpp

Detailed Description

Public Types

Public Member Functions

Static Public Member Functions

Public Attributes

Member Typedef Documentation

◆ Box

Constructor & Destructor Documentation

◆ BoxConstrProblem() [1/4]

◆ BoxConstrProblem() [2/4]

◆ BoxConstrProblem() [3/4]

◆ BoxConstrProblem() [4/4]

Member Function Documentation

◆ operator=() [1/2]

◆ operator=() [2/2]

◆ get_n()

◆ get_m()

◆ eval_proj_grad_step_box()

◆ eval_prox_grad_step_box_l1_impl()

◆ eval_prox_grad_step_box_l1()

◆ eval_prox_grad_step_box_l1_scal()

◆ eval_prox_grad_step()

◆ eval_proj_diff_g()

◆ eval_proj_multipliers_box()

◆ eval_proj_multipliers()

◆ get_box_C()

◆ get_box_D()

◆ eval_inactive_indices_res_lna()

◆ check()

Member Data Documentation

◆ n

◆ m

◆ penalty_alm_split

◆ C

◆ D

◆ l1_reg