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Get started HiGHS is high performance serial and parallel software for solving large-scale sparse linear programming (LP), mixed-integer programming (MIP) and quadratic programming (QP) models,. Linear optimization software. Contribute to ERGO-Code/HiGHS development by creating an account on GitHub. HiGHS is designed to solve large-scale models and exploits problem sparsity. Its performance relative to commercial and other open-source software is reviewed periodically using industry-standard. HiGHS is an optimization package for solving continuous and mixed-integer linear programming problems (LPs and MIPs) using simplex, interior-point, and branch-and-cut algorithms. HiGHS is. This HiGHS documentation is a work in progress. HiGHS is software for the definition, modification and solution of large scale sparse linear optimization models. HiGHS is freely available from GitHub.

The *-apache binary packages contain HiGHS with HiPO and are Apache-licenced, due to the licensing of the dependencies of HiPO. For more information, see THIRD PARTY NOTICES.md. Introduction This guide describes the features of HiGHS that are available when it is called from Python, C++, C, C# and Fortran. It is written in three sections: basic, further and advanced. The basic section.