GLOP

Google program

GLOP (the Google Linear Optimization Package) is Google's open source linear programming solver, created by Google's Operations Research Team. It is written in C++ and was released to the public as part of Google's OR-Tools software suite in 2014.[1]

GLOP uses a revised primal-dual simplex algorithm optimized for sparse matrices. It uses Markowitz pivoting to reduce matrix fill-in, steepest-edge pricing to avoid degenerate pivots, and an LU decomposition tailored for sparse matrices.

Inside Google, GLOP is used to stabilize YouTube videos[2] and outside Google, it has been used to perform fast linear relaxations for reinforcement learning.[3]

References

  1. ^ "Sudoku, Linear Optimization, and the Ten Cent Diet".
  2. ^ "Sudoku, Linear Optimization, and the Ten Cent Diet".
  3. ^ "A structured prediction approach for generalization in cooperative multi-agent reinforcement learning".

External links

  • GLOP home page
  • GLOP source code
  • v
  • t
  • e
Data formats
  • Mathematica
  • MPS
  • nl
  • sol
Modeling tools
Solvers
LP, MILP∗
QP, MIQP∗
QCP, MIQCP∗
SOCP, MISOCP∗
SDP, MISDP∗
NLP, MINLP∗
GO
CP