tutorial:cola_dietcola
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tutorial:cola_dietcola [1998/12/03 12:11] |
tutorial:cola_dietcola [2014/12/02 18:29] aykutbulut |
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| + | ====== COLA (Conic Optimization using Linear Approximations) and DietCOLA (Discrete COLA) ====== | ||
| + | ===== COLA ===== | ||
| + | Cola solves Second Order Conic Optimization (SOCO) problems using outer linear approximations. It can be used as a standalone solver or as a library. Developed by Aykut Bulut and his advisor Ted Ralphs. Conceptual design is inspired by Aykut' | ||
| + | ==== Design ==== | ||
| + | Cola inherits OsiClpSolverInterface class of Coin-OR Osi project. It uses Clp to solve linear optimization problems. | ||
| + | ==== How to use cola ==== | ||
| + | It is pretty straightforward. Just run 'cola input.mps' | ||
| + | ===== DietCOLA ===== | ||
| + | DietCOLA (Discrete COLA) uses branch and bound to solve second order cone optimization problems. DietCOLA is available in polyps (command dietcola). Source code of DietCOLA is available on [[https:// | ||
| + | ==== Installation ==== | ||
| + | DietCOLA depends on COLA and ALPS. Once COLA and ALPS are installed and their .pc file is in your PKG_CONFIG_PATH, | ||
| + | ==== Using DietCOLA ==== | ||
| + | DietCOLA accepts inputs in extended mps format. See [[http:// | ||
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| + | You can also use DietCOLA as a library. For this you should create an instance of DcModel class. See DcMain.cpp for how to do this. | ||
| + | |||
| + | DietCOLA is available on [[https:// | ||
tutorial/cola_dietcola.txt ยท Last modified: 1998/12/03 12:11 (external edit)
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