MOSEK.parse_dual_vars

List of the dual variables returned by the MOSEK solution.

dual_var

A list that contains the mapping of entry "id"
that is the index of the CVXR <a href="/link/?package=CVXR&version=1.0" constraint'="" data-mini-rdoc="CVXR::"></a>'>Constraint object to which the
next "dim" entries of the dual variable belong.

constr_id_to_constr_dim

Parses MOSEK dual variables into corresponding CVXR constraints and dual values

An object-oriented modeling language for disciplined convex
programming (DCP). It allows the user to formulate convex optimization problems
in a natural way following mathematical convention and DCP rules. The system
analyzes the problem, verifies its convexity, converts it into a canonical form,
and hands it off to an appropriate solver to obtain the solution.

Anqi Fu

CVXR

Disciplined Convex Optimization

Balasubramanian Narasimhan

David W Kang

Steven Diamond

John Miller

Stephen Boyd

Paul Kunsberg Rosenfield

MOSEK.parse_dual_vars function

A list that contains the mapping of entry "id"
that is the index of the CVXR <a href='<a href='Constraint'></a>'>Constraint</a> object to which the
next "dim" entries of the dual variable belong.

MOSEK.parse_dual_vars: Parses MOSEK dual variables into corresponding CVXR constraints and dual values

Description

Usage

Arguments

Value