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COLA (Conic Optimization using Linear Approximations)

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's commitee, Pietro Belotti, Julio C. Goez, Tamas Terlaky, Ted Ralphs and Luis Zuluaga.

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'. Cola do not except any options for now. It solves a conic mps file given as an argument.

Example use:

cola ex1.mps