ConicSolver-class: The ConicSolver class.

In CVXR: Disciplined Convex Optimization

The ConicSolver class.

Description

Conic solver class with reduction semantics.

Usage

## S4 method for signature 'ConicSolver,Problem'
accepts(object, problem)

## S4 method for signature 'ConicSolver'
reduction_format_constr(object, problem, constr, exp_cone_order)

## S4 method for signature 'ConicSolver'
group_coeff_offset(object, problem, constraints, exp_cone_order)

## S4 method for signature 'ConicSolver,Solution,InverseData'
invert(object, solution, inverse_data)

Arguments

object	A ConicSolver object.
problem	A Problem object.
constr	A Constraint to format.
exp_cone_order	A list indicating how the exponential cone arguments are ordered.
constraints	A list of Constraint objects.
solution	A Solution object to invert.
inverse_data	A InverseData object containing data necessary for the inversion.

Methods (by generic)

• accepts(object = ConicSolver, problem = Problem): Can the problem be solved with a conic solver?

• reduction_format_constr(ConicSolver): Return a list representing a cone program whose problem data tensors will yield the coefficient "A" and offset "b" for the respective constraints: Linear Equations: A x = b, Linear inequalities: A x \leq b, Second order cone: A x \leq_{SOC} b, Exponential cone: A x \leq_{EXP} b, Semidefinite cone: A x \leq_{SOP} b.

• group_coeff_offset(ConicSolver): Combine the constraints into a single matrix, offset.

• invert(object = ConicSolver, solution = Solution, inverse_data = InverseData): Returns the solution to the original problem given the inverse_data.

CVXR documentation built on April 4, 2025, 1:08 a.m.