Linear optimization (or linear programming) is the name given to computing the best solution to a problem modeled as a set of linear relationships. These problems arise in many scientific and engineering disciplines. (The word "programming" is a bit of a misnomer, similar to how "computer" once meant "a person who computes." Here, "programming" refers to the arrangement of a plan, rather than programming in a computer language.)
For a good primer on linear optimization, we recommend the Mosek modeling cookbook.
Google provides two ways to solve linear optimization problems: the open-source library Glop and the Linear Optimization Service in Google Apps Script.
- Glop is Google's in-house linear solver, available as open source. You can access Glop through the OR-Tools linear solver wrapper, which is a wrapper for Glop, as well as several other third-party linear optimization solvers. To learn how solve a simple linear problem using Glop in all of the supported languages, see Getting Started with OR-Tools.
- The Linear Optimization Service in Google Apps Script lets developers make function calls to solve linear optimization problems. It relies on Glop for pure linear-optimization problems where all variables can take on real values. If any variables are constrained to be integers, the service uses SCIP, from Zuse-Institut Berlin.
Only the first option requires installing OR-Tools.