PyOptInterface: Design and implementation of an efficient modeling language for mathematical optimization
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1866910449733206016 |
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| author | Yang, Yue Lin, Chenhui Xu, Luo Wu, Wenchuan |
| author_facet | Yang, Yue Lin, Chenhui Xu, Luo Wu, Wenchuan |
| contents | This paper introduces the design and implementation of PyOptInterface, a modeling language for mathematical optimization embedded in Python programming language. PyOptInterface uses lightweight and compact data structure to bridge high-level entities in optimization models like variables and constraints to internal indices of optimizers efficiently. It supports a variety of optimization solvers and a range of common problem classes. We provide benchmarks to exhibit the competitive performance of PyOptInterface compared with other state-of-the-art modeling languages. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_10130 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | PyOptInterface: Design and implementation of an efficient modeling language for mathematical optimization Yang, Yue Lin, Chenhui Xu, Luo Wu, Wenchuan Mathematical Software This paper introduces the design and implementation of PyOptInterface, a modeling language for mathematical optimization embedded in Python programming language. PyOptInterface uses lightweight and compact data structure to bridge high-level entities in optimization models like variables and constraints to internal indices of optimizers efficiently. It supports a variety of optimization solvers and a range of common problem classes. We provide benchmarks to exhibit the competitive performance of PyOptInterface compared with other state-of-the-art modeling languages. |
| title | PyOptInterface: Design and implementation of an efficient modeling language for mathematical optimization |
| topic | Mathematical Software |
| url | https://arxiv.org/abs/2405.10130 |