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| Pack logtalk -- logtalk-3.102.0/docs/apis/_sources/constrained_optimization_problem_protocol_0.rst.txt |
.. index:: single: constrained_optimization_problem_protocol .. _constrained_optimization_problem_protocol/0:
.. rst-class:: right
protocol
constrained_optimization_problem_protocol
Extends local_optimization_problem_protocol with general equality and inequality constraints. Box constraints continue to be expressed via the inherited position_bounds/1. A problem that defines neither equality_constraints/2 nor inequality_constraints/2 is a plain local_optimization_problem_protocol problem and can still be solved by any constrained_optimization solver.
| Availability:
| logtalk_load(constrained_optimization(loader))
| Author: Paulo Moura | Version: 1:0:0 | Date: 2026-09-03
| Compilation flags:
| static
| Extends:
| public :ref:`local_optimization_problem_protocol <local_optimization_problem_protocol/0>`
| Remarks:
g(x) = 0, one component per row of equality_constraints/2.h(x) =< 0, one component per row of inequality_constraints/2. Constraints of the form h(x) >= 0 or a =< h(x) =< b must be restated in this form by the problem (e.g. negate, or split into two rows) before being reported here.sqp_active_set(_) and primal_dual_interior_point(_), and by augmented_lagrangian(_,_), quadratic_penalty(_,_), and log_barrier(_,_) when their selected inner solver uses gradients. Solvers that need a Jacobian a problem does not define raise an existence error rather than silently falling back to finite differences.| Inherited public predicates: | Â :ref:`local_optimization_problem_protocol/0::gradient/2` Â :ref:`local_optimization_problem_protocol/0::hessian/2` Â :ref:`local_optimization_problem_protocol/0::initial_point/1` Â :ref:`local_optimization_problem_protocol/0::objective/2` Â :ref:`local_optimization_problem_protocol/0::position_bounds/1` Â :ref:`local_optimization_problem_protocol/0::progress/5` Â :ref:`local_optimization_problem_protocol/0::stop_condition/3` Â
.. contents:: :local: :backlinks: top
.. index:: equality_constraints/2 .. _constrained_optimization_problem_protocol/0::equality_constraints/2:
equality_constraints/2 ^^^^^^^^^^^^^^^^^^^^^^^^^^
Computes g(x), the vector of equality constraint values at a point; feasibility requires every component to equal zero. Optional: when not defined, the problem has no equality constraints.
| Compilation flags:
| static
| Template:
| equality_constraints(Point,Values)
| Mode and number of proofs:
| equality_constraints(+list(number),-list(number)) - zero_or_one
.. index:: equality_jacobian/2 .. _constrained_optimization_problem_protocol/0::equality_jacobian/2:
equality_jacobian/2 ^^^^^^^^^^^^^^^^^^^^^^^
Computes the Jacobian of equality_constraints/2 at a point, one row per constraint, one column per variable. Optional unless required by the solver in use (see the "Jacobians" remark above).
| Compilation flags:
| static
| Template:
| equality_jacobian(Point,Jacobian)
| Mode and number of proofs:
| equality_jacobian(+list(number),-list(list(number))) - zero_or_one
.. index:: inequality_constraints/2 .. _constrained_optimization_problem_protocol/0::inequality_constraints/2:
inequality_constraints/2 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Computes h(x), the vector of inequality constraint values at a point; feasibility requires every component to be =< 0. Optional: when not defined, the problem has no general inequality constraints (position_bounds/1 may still apply).
| Compilation flags:
| static
| Template:
| inequality_constraints(Point,Values)
| Mode and number of proofs:
| inequality_constraints(+list(number),-list(number)) - zero_or_one
.. index:: inequality_jacobian/2 .. _constrained_optimization_problem_protocol/0::inequality_jacobian/2:
inequality_jacobian/2 ^^^^^^^^^^^^^^^^^^^^^^^^^
Computes the Jacobian of inequality_constraints/2 at a point. Optional unless required by the solver in use (see the "Jacobians" remark above).
| Compilation flags:
| static
| Template:
| inequality_jacobian(Point,Jacobian)
| Mode and number of proofs:
| inequality_jacobian(+list(number),-list(list(number))) - zero_or_one
.. index:: inner_progress/6 .. _constrained_optimization_problem_protocol/0::inner_progress/6:
inner_progress/6 ^^^^^^^^^^^^^^^^^^^^
Optional callback reporting progress from an inner solver used by a delegated constrained solver. The stage is outer(N) for an outer iteration or phase1 for a feasibility search. The value and measure are those of the transformed inner subproblem.
| Compilation flags:
| static
| Template:
| inner_progress(Stage,Iteration,Point,Value,Measure,Evaluations)
| Mode and number of proofs:
| inner_progress(+term,+non_negative_integer,+list(number),+number,+number,+non_negative_integer) - zero_or_one
(no local declarations; see entity ancestors if any)
(no local declarations; see entity ancestors if any)
(none)
.. seealso::
:ref:`local_optimization_problem_protocol <local_optimization_problem_protocol/0>`, :ref:`qp_active_set <qp_active_set/0>`, :ref:`sqp_active_set(Problem) <sqp_active_set/1>`, :ref:`augmented_lagrangian(Problem,InnerSolver) <augmented_lagrangian/2>`, :ref:`quadratic_penalty(Problem,InnerSolver) <quadratic_penalty/2>`, :ref:`log_barrier(Problem,InnerSolver) <log_barrier/2>`, :ref:`primal_dual_interior_point(Problem) <primal_dual_interior_point/1>`