MOSEK-class: An interface for the MOSEK solver.

In CVXR: Disciplined Convex Optimization

An interface for the MOSEK solver.

Description

An interface for the MOSEK solver.

Usage

MOSEK()

## S4 method for signature 'MOSEK'
mip_capable(solver)

## S4 method for signature 'MOSEK'
import_solver(solver)

## S4 method for signature 'MOSEK'
name(x)

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

## S4 method for signature 'MOSEK'
block_format(object, problem, constraints, exp_cone_order = NA)

## S4 method for signature 'MOSEK,Problem'
perform(object, problem)

## S4 method for signature 'MOSEK'
solve_via_data(
  object,
  data,
  warm_start,
  verbose,
  feastol,
  reltol,
  abstol,
  num_iter,
  solver_opts,
  solver_cache
)

## S4 method for signature 'MOSEK,ANY,ANY'
invert(object, solution, inverse_data)

Arguments

solver, object, x	A MOSEK object.
problem	A Problem object.
constraints	A list of Constraint objects for which coefficient andd offset data ("G", "h" respectively) is needed
exp_cone_order	A parameter that is only used when a Constraint object describes membership in the exponential cone.
data	Data generated via an apply call.
warm_start	A boolean of whether to warm start the solver.
verbose	A boolean of whether to enable solver verbosity.
feastol	The feasible tolerance.
reltol	The relative tolerance.
abstol	The absolute tolerance.
num_iter	The maximum number of iterations.
solver_opts	A list of Solver specific options
solver_cache	Cache for the solver.
solution	The raw solution returned by the solver.
inverse_data	A list containing data necessary for the inversion.

Methods (by generic)

• mip_capable(MOSEK): Can the solver handle mixed-integer programs?

• import_solver(MOSEK): Imports the solver.

• name(MOSEK): Returns the name of the solver.

• accepts(object = MOSEK, problem = Problem): Can MOSEK solve the problem?

• block_format(MOSEK): Returns a large matrix "coeff" and a vector of constants "offset" such that every Constraint in "constraints" holds at z in R^n iff "coeff" * z <=_K offset", where K is a product of cones supported by MOSEK and CVXR (zero cone, nonnegative orthant, second order cone, exponential cone). The nature of K is inferred later by accessing the data in "lengths" and "ids".

• perform(object = MOSEK, problem = Problem): Returns a new problem and data for inverting the new solution.

• solve_via_data(MOSEK): Solve a problem represented by data returned from apply.

• invert(object = MOSEK, solution = ANY, inverse_data = ANY): Returns the solution to the original problem given the inverse_data.

CVXR documentation built on June 27, 2024, 5:11 p.m.