HiGHS
An open-source high-performance linear and mixed-integer programming solver led by a team at the University of Edinburgh. It supports model types including LP, MIP and QP, and employs algorithms such as the simplex method, interior point methods and branch and bound.
Timeline (last 90 days)
Local search is fast and suitable for quickly obtaining feasible solutions in large-scale scenarios; HiGHS, as an exact solver, can give better or even optimal solutions on smaller-scale problems, but at higher computational cost.
HiGHS stands for High performance software for linear optimization, an open-source linear and mixed-integer programming solver led by a team at the University of Edinburgh, supporting model types such as LP, MIP and QP.
HiGHS adopts classic algorithms such as the simplex method, interior point method and branch and bound, and can prove a solution's optimality or give an optimality gap within a given time.
Rebalancer integrates HiGHS as an optional backend, letting developers trade off between precision and efficiency as needed.
All Facts (4)
Local search is fast and suitable for quickly obtaining feasible solutions in large-scale scenarios; HiGHS, as an exact solver, can give better or even optimal solutions on smaller-scale problems, but at higher computational cost.
50%UnverifiedHiGHS stands for High performance software for linear optimization, an open-source linear and mixed-integer programming solver led by a team at the University of Edinburgh, supporting model types such as LP, MIP and QP.
50%UnverifiedHiGHS adopts classic algorithms such as the simplex method, interior point method and branch and bound, and can prove a solution's optimality or give an optimality gap within a given time.
50%UnverifiedRebalancer integrates HiGHS as an optional backend, letting developers trade off between precision and efficiency as needed.
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