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| license = [[MIT License|MIT]]
| genre = Optimization solver suite
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HiGHS is based on solvers written by PhD students from the Optimization and Operational Research Group{{nnbsp}}<ref name="uoe-som-oor"/> in the School of Mathematics at the [[University of Edinburgh]]. Its origins can be traced back to late 2016, when Ivet Galabova combined her LP presolve with Julian Hall's simplex crash procedure and Huangfu Qi's dual simplex solver to solve a class of industrial LP problems faster than the best open-source solvers at that time. Since then, a C++{{nbsp}}[[application programming interface|API]] and other language interfaces have been developed, and modelling utilities and other categories of solver have been added.
In early{{nbhyph}}2022, the [[open energy system models#GenX|GenX]] and [[open energy system models#PyPSA|PyPSA]] open energy system modelling projects endorsed a funding application for the HiGHS solver in an effort to reduce their [[Open Energy Modelling Initiative|community]] reliance on proprietary libraries.<ref name="parzen-etal-2022"/> That appeal resulted in {{val|76000|p=
== Solvers ==
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