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HiGHS is open-source software to solve linear programming (LP), mixed-integer programming (MIP), and convex quadratic programming (QP) models. Written in C++ and published under an MIT license, HiGHS provides programming interfaces to C, Python, Julia, Rust, JavaScript, Fortran, and C#. It has no external dependencies. Although generally single-threaded, some solver components can utilize multi-core architectures. 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 benchmarks.

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dbo:abstract
  • HiGHS is open-source software to solve linear programming (LP), mixed-integer programming (MIP), and convex quadratic programming (QP) models. Written in C++ and published under an MIT license, HiGHS provides programming interfaces to C, Python, Julia, Rust, JavaScript, Fortran, and C#. It has no external dependencies. Although generally single-threaded, some solver components can utilize multi-core architectures. 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 benchmarks. The term HiGHS may also refer to both the underlying project and the small team leading the software development. (en)
dbo:latestReleaseVersion
  • 1.2.2
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  • 71356449 (xsd:integer)
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  • 13860 (xsd:nonNegativeInteger)
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  • 1122574745 (xsd:integer)
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  • Optimization solver suite (en)
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  • 120 (xsd:integer)
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  • (en)
  • Ivet Galabova (en)
dbp:latestReleaseVersion
  • 1.200000 (xsd:double)
dbp:leaderName
  • Julian Hall (en)
dbp:leaderTitle
  • Director (en)
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  • United Kingdom (en)
dbp:name
  • HiGHS (en)
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  • 2 (xsd:integer)
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dbp:title
  • HiGHS (en)
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  • HiGHS is open-source software to solve linear programming (LP), mixed-integer programming (MIP), and convex quadratic programming (QP) models. Written in C++ and published under an MIT license, HiGHS provides programming interfaces to C, Python, Julia, Rust, JavaScript, Fortran, and C#. It has no external dependencies. Although generally single-threaded, some solver components can utilize multi-core architectures. 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 benchmarks. (en)
rdfs:label
  • HiGHS optimization solver (en)
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