The ConicSolver class.

Source: R/conic_solvers.R

Conic solver class with reduction semantics.

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

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

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

# S4 method for class '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.