path: root/math/sdpa/pkg-descr



The SDPA (SemiDefinite Programming Algorithm) is a software package for
solving semidefinite program (SDP). It is based on a Mehrotra-type
predictor-corrector infeasible primal-dual interior-point method.
The SDPA handles the standard form SDP and its dual. It is implemented in C++
language utilizing the LAPACK for matrix computation. The SDPA incorporates
dynamic memory allocation and deallocation. So, the maximum size of an SDP
to be solved depends on the size of memory which users' computers install.
The SDPA enjoys the following features:

   1. Callable library of the SDPA is available.
   2. Efficient method for computing the search directions when an SDP
      to be solved is large scale and sparse.
   3. Block diagonal matrix structure and sparse matrix structure in 
      data matrices are available.
   4. Some information on infeasibility of a semidefinite program to be solved
      is provided. 

WWW: http://sdpa.indsys.chuo-u.ac.jp/sdpa/index.html
The SDPA (SemiDefinite Programming Algorithm) is a software package for
solving semidefinite program (SDP). It is based on a Mehrotra-type
predictor-corrector infeasible primal-dual interior-point method.
The SDPA handles the standard form SDP and its dual. It is implemented in C++
language utilizing the LAPACK for matrix computation. The SDPA incorporates
dynamic memory allocation and deallocation. So, the maximum size of an SDP
to be solved depends on the size of memory which users' computers install.
The SDPA enjoys the following features:

   1. Callable library of the SDPA is available.
   2. Efficient method for computing the search directions when an SDP
      to be solved is large scale and sparse.
   3. Block diagonal matrix structure and sparse matrix structure in 
      data matrices are available.
   4. Some information on infeasibility of a semidefinite program to be solved
      is provided. 

WWW: http://sdpa.indsys.chuo-u.ac.jp/sdpa/index.html