# csdp - Man Page

Semidefinite Programming solver

## Synopsis

**csdp** PROBLEM [*FINAL_SOLUTION* [*INITIAL_SOLUTION*]]

## Description

CSDP is a library of routines that implements a predictor corrector variant of the semidefinite programming algorithm of Helmberg, Rendl, Vanderbei, and Wolkowicz. The main advantages of this code are that it is written to be used as a callable subroutine, it is written in C for efficiency, the code runs in parallel on shared memory multi-processor systems, and it makes effective use of sparsity in the constraint matrices.

The csdp binary is a simple command-line interface to the library.

## Exit Status

The output is a solution, together with some timing information. The exit status indicates the following:

- 0
A solution to the problem was found.

- 1
The problem is primal infeasible.

- 2
The problem is dual infeasible.

- 3
The problem was solved with reduced accuracy.

- 4
The maximum number of iterations was reached without finding a solution.

- 5
The search got stuck at the edge of primal feasibility.

- 6
The search got stuck at the edge of dual feasibility.

- 7
Lack of progress in finding a solution was detected.

- 8
The system matrix is singular, factorization of the matrix failed, or solving for dy or dy1 failed.

- 9
Too many line search failures were encountered.

- 10
An input problem or solution could not be read.

- 12
The gap became infinite or NaN.

## Authors

Csdp was written by Dr. Brian Borchers <borchers@nmt.edu>, with contributions by Joseph Young <josyoun@nmt.edu> and Aaron Wilson <wilson@nmt.edu>.

This man page was written by Jerry James <loganjerry@gmail.com>. It is distributed under the same terms as Csdp.