PIPS - suite of parallel optimization solvers mainly for stochastic optimization problems consisting of the following solvers:
 i.   PIPS-IPM - parallel MPI+OpenMP interior-point for stochastic LPs and convex QPs
 ii.  PIPS-S   - parallel MPI implementation of the revised simplex method
 iii. PIPS-NLP - parallel MPI interior-point for structured NLPs

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# LICENSE
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See LICENSE file.

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# CONTRIBUTIONS
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PIPS-IPM
Developed by:
  Cosmin G. Petra - Argonne National Laboratory
Contributions from:
  Miles Lubin - Argonne National Laboratory
  Naiyuan Chiang - Argonne National Laboratory

PIPS-S
Developed by: 
  Miles Lubin - Argonne National Laboratory
  Cosmin G. Petra - Argonne National Laboratory
Contributions from:
  Geoffrey Oxberry - Lawrence Livermore National Laboratory
  Julian Hall - U. of Edinburgh

PIPS-NLP 
Developed by:
 Naiyuan Chiang - Argonne National Laboratory
 Victor Zavala - Argonne National Laboratory and Univ. of Wisconsin-Madison
 Cosmin G. Petra - Argonne National Laboratory	 

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# INSTALATION Instructions
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1. Install package wget, cmake, mpich2, and boost.
You can get them via the following command (xxx stands for the name of the package):
In Linux(Ubuntu): apt-get install xxxx

2. Go to the following folders and run the script wgetXXX.sh
ThirdPartyLibs/ASL  
ThirdPartyLibs/CBC 
ThirdPartyLibs/ConicBundle   
ThirdPartyLibs/METIS
For an example, use command "sh wgetASL.sh" in the folder ThirdPartyLibs/ASL  

3. Download MA27 and MA57 from HSL and put the source code in the correct folder. 
(See ThirdPartyLibs/MA27/README.txt and ThirdPartyLibs/MA57/README.txt for more details.)

4. Assuming we are trying to install PIPS in the folder PIPSMAINPATH/build_pips, where 
PIPSMAINPATH is the root instalation folder, use the following commands in the PIPSMAINPATH
folder to configure and install PIPS:
mkdir build_pips
cd build_pips
cmake ..
make

5. The build system will install executables from three sources: PIPS-IPM, PIPS-S and PIPS-NLP. 

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# ACKNOWLEDGMENTS
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PIPS has been developed under the financial support of: 
- Department of Energy, Office of Advanced Scientific Computing Research
- Department of Energy, Early Career Program 
- Department of Energy, Office of Electricity Delivery and Energy Reliability

PIPS-IPM and PIPS-NLP are derivative works of OOQP (http://pages.cs.wisc.edu/~swright/ooqp/) by E. Michael Gertz and Stephen. Wright