#include <alpaqa/dl/dl-problem.h>
C API providing function pointers to problem functions.
Used by alpaqa::dl::DLProblem.
Definition at line 30 of file dl-problem.h.
Collaboration diagram for alpaqa_problem_functions_t:Public Attributes | |
| alpaqa_length_t | n { 0 } |
| Number of decision variables. | |
| alpaqa_length_t | m { 0 } |
| Number of constraints. | |
| alpaqa_real_t(* | eval_f )(void *instance, const alpaqa_real_t *x) |
| Cost function. | |
| void(* | eval_grad_f )(void *instance, const alpaqa_real_t *x, alpaqa_real_t *grad_fx) |
| Gradient of the cost function. | |
| void(* | eval_g )(void *instance, const alpaqa_real_t *x, alpaqa_real_t *gx) |
| Constraints function. | |
| void(* | eval_grad_g_prod )(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *y, alpaqa_real_t *grad_gxy) |
| Gradient-vector product of the constraints function. | |
| void(* | eval_jac_g )(void *instance, const alpaqa_real_t *x, alpaqa_index_t *inner_idx, alpaqa_index_t *outer_ptr, alpaqa_real_t *J_values) |
| Jacobian of the constraints function. | |
| alpaqa_length_t(* | get_jac_g_num_nonzeros )(void *instance) |
| Number of nonzeros of the sparse Jacobian of the constraints function. | |
| void(* | eval_grad_gi )(void *instance, const alpaqa_real_t *x, alpaqa_index_t i, alpaqa_real_t *grad_gi) |
| Gradient of specific constraint function. | |
| void(* | eval_hess_L_prod )(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *y, alpaqa_real_t scale, const alpaqa_real_t *v, alpaqa_real_t *Hv) |
| Hessian-vector product of the Lagrangian. | |
| void(* | eval_hess_L )(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *y, alpaqa_real_t scale, alpaqa_index_t *inner_idx, alpaqa_index_t *outer_ptr, alpaqa_real_t *H_values) |
| Hessian of the Lagrangian. | |
| alpaqa_length_t(* | get_hess_L_num_nonzeros )(void *instance) |
| Number of nonzeros of the sparse Hessian of the Lagrangian. | |
| void(* | eval_hess_ψ_prod )(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *y, const alpaqa_real_t *Σ, alpaqa_real_t scale, const alpaqa_real_t *zl, const alpaqa_real_t *zu, const alpaqa_real_t *v, alpaqa_real_t *Hv) |
| Hessian-vector product of the augmented Lagrangian. | |
| void(* | eval_hess_ψ )(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *y, const alpaqa_real_t *Σ, alpaqa_real_t scale, const alpaqa_real_t *zl, const alpaqa_real_t *zu, alpaqa_index_t *inner_idx, alpaqa_index_t *outer_ptr, alpaqa_real_t *H_values) |
| Hessian of the augmented Lagrangian. | |
| alpaqa_length_t(* | get_hess_ψ_num_nonzeros )(void *instance) |
| Number of nonzeros of the sparse Hessian of the augmented Lagrangian. | |
| alpaqa_real_t(* | eval_f_grad_f )(void *instance, const alpaqa_real_t *x, alpaqa_real_t *grad_fx) |
| Cost and its gradient. | |
| alpaqa_real_t(* | eval_f_g )(void *instance, const alpaqa_real_t *x, alpaqa_real_t *g) |
| Cost and constraints. | |
| void(* | eval_grad_f_grad_g_prod )(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *y, alpaqa_real_t *grad_f, alpaqa_real_t *grad_gxy) |
| Gradient of the cost and gradient-vector product of the constraints. | |
| void(* | eval_grad_L )(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *y, alpaqa_real_t *grad_L, alpaqa_real_t *work_n) |
| Gradient of the Lagrangian. | |
| alpaqa_real_t(* | eval_ψ )(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *y, const alpaqa_real_t *Σ, const alpaqa_real_t *zl, const alpaqa_real_t *zu, alpaqa_real_t *ŷ) |
| Augmented Lagrangian. | |
| void(* | eval_grad_ψ )(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *y, const alpaqa_real_t *Σ, const alpaqa_real_t *zl, const alpaqa_real_t *zu, alpaqa_real_t *grad_ψ, alpaqa_real_t *work_n, alpaqa_real_t *work_m) |
| Gradient of the augmented Lagrangian. | |
| alpaqa_real_t(* | eval_ψ_grad_ψ )(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *y, const alpaqa_real_t *Σ, const alpaqa_real_t *zl, const alpaqa_real_t *zu, alpaqa_real_t *grad_ψ, alpaqa_real_t *work_n, alpaqa_real_t *work_m) |
| Augmented Lagrangian and its gradient. | |
| alpaqa_real_t(* | eval_prox_grad_step )(void *instance, alpaqa_real_t γ, const alpaqa_real_t *x, const alpaqa_real_t *grad_ψ, alpaqa_real_t *x̂, alpaqa_real_t *p) |
| Proximal gradient step. | |
| void(* | initialize_box_C )(void *instance, alpaqa_real_t *lb, alpaqa_real_t *ub) |
| Provide the initial values for the bounds of alpaqa::BoxConstrProblem::C, i.e. | |
| void(* | initialize_box_D )(void *instance, alpaqa_real_t *lb, alpaqa_real_t *ub) |
| Provide the initial values for the bounds of alpaqa::BoxConstrProblem::D, i.e. | |
| void(* | initialize_l1_reg )(void *instance, alpaqa_real_t *lambda, alpaqa_length_t *size) |
| Provide the initial values for alpaqa::BoxConstrProblem::l1_reg, the ℓ₁-regularization factor. | |
| alpaqa_length_t n { 0 } |
Number of decision variables.
Definition at line 33 of file dl-problem.h.
| alpaqa_length_t m { 0 } |
Number of constraints.
Definition at line 36 of file dl-problem.h.
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Cost function.
Definition at line 41 of file dl-problem.h.
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Gradient of the cost function.
Definition at line 46 of file dl-problem.h.
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Constraints function.
Definition at line 52 of file dl-problem.h.
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Gradient-vector product of the constraints function.
Definition at line 58 of file dl-problem.h.
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Jacobian of the constraints function.
Definition at line 65 of file dl-problem.h.
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Number of nonzeros of the sparse Jacobian of the constraints function.
Definition at line 73 of file dl-problem.h.
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Gradient of specific constraint function.
Definition at line 77 of file dl-problem.h.
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Hessian-vector product of the Lagrangian.
Definition at line 84 of file dl-problem.h.
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Hessian of the Lagrangian.
Definition at line 93 of file dl-problem.h.
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Number of nonzeros of the sparse Hessian of the Lagrangian.
Definition at line 103 of file dl-problem.h.
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Hessian-vector product of the augmented Lagrangian.
Definition at line 107 of file dl-problem.h.
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Hessian of the augmented Lagrangian.
Definition at line 119 of file dl-problem.h.
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Number of nonzeros of the sparse Hessian of the augmented Lagrangian.
Definition at line 132 of file dl-problem.h.
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Cost and its gradient.
Definition at line 136 of file dl-problem.h.
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Cost and constraints.
Definition at line 142 of file dl-problem.h.
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Gradient of the cost and gradient-vector product of the constraints.
Definition at line 148 of file dl-problem.h.
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Gradient of the Lagrangian.
Definition at line 156 of file dl-problem.h.
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Augmented Lagrangian.
Definition at line 164 of file dl-problem.h.
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Gradient of the augmented Lagrangian.
Definition at line 174 of file dl-problem.h.
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Augmented Lagrangian and its gradient.
Definition at line 186 of file dl-problem.h.
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Proximal gradient step.
Definition at line 200 of file dl-problem.h.
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Provide the initial values for the bounds of alpaqa::BoxConstrProblem::C, i.e.
the constraints on the decision variables.
Definition at line 210 of file dl-problem.h.
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Provide the initial values for the bounds of alpaqa::BoxConstrProblem::D, i.e.
the general constraints.
Definition at line 216 of file dl-problem.h.
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Provide the initial values for alpaqa::BoxConstrProblem::l1_reg, the ℓ₁-regularization factor.
This function is called twice:
lambda set to nullptr, and the user should set the size.lambda pointing to an array of that size, and the user should initialize this array. Definition at line 226 of file dl-problem.h.