SDPA

Owned by Indy Siva
Last updated: Feb 09, 2017
1 min read

 

Introduction

SDP has become an extremely active subject in the field of optimization/mathematical programming. It consists in minimizing/maximizing a linear objective function restricted to linear constraints on the cone of positive semidefinite symmetric matrices. Besides its interesting theoretical properties, some eminently practical applications in control theory, combinatorial optimization, algebra, quantum information, quantum chemistry, etc., have enhanced a tremendous interest in SDP.

Source: http://sdpa.sourceforge.net/index.html

Usage

module load sdpa/7.3.8

 

Installation

module load library/lapackBlas/3.6.0

#tar xzf sdpa_7.3.X.tar.gz
#cd sdpa-7.3.X
export CC=gcc
export CXX=g++
export FC=gfortran
export CFLAGS="-funroll-all-loops"
export CXXFLAGS="-funroll-all-loops"
export FFLAGS="-funroll-all-loops"
./configure --prefix=/sw/sdpa/7.3.8 2>&1 | tee configure.log
make 2>&1 | tee make.log
make install 2>&1 | tee makeInstall.log

#cd /sw/sdpa/7.3.8/share/sdpa/mex
#module load matlab/2015b
#make 2>&1 | tee makeMatlab.log

 

Reference

 

  1. http://sdpa.sourceforge.net/index.html
  2. 2. https://sourceforge.net/projects/sdpa/files/

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