{"title":"PyOptInterface:设计和实现高效的数学优化建模语言","authors":"Yue Yang, Chenhui Lin, Luo Xu, Wenchuan Wu","doi":"arxiv-2405.10130","DOIUrl":null,"url":null,"abstract":"This paper introduces the design and implementation of PyOptInterface, a\nmodeling language for mathematical optimization embedded in Python programming\nlanguage. PyOptInterface uses lightweight and compact data structure to bridge\nhigh-level entities in optimization models like variables and constraints to\ninternal indices of optimizers efficiently. It supports a variety of\noptimization solvers and a range of common problem classes. We provide\nbenchmarks to exhibit the competitive performance of PyOptInterface compared\nwith other state-of-the-art modeling languages.","PeriodicalId":501256,"journal":{"name":"arXiv - CS - Mathematical Software","volume":"48 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PyOptInterface: Design and implementation of an efficient modeling language for mathematical optimization\",\"authors\":\"Yue Yang, Chenhui Lin, Luo Xu, Wenchuan Wu\",\"doi\":\"arxiv-2405.10130\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces the design and implementation of PyOptInterface, a\\nmodeling language for mathematical optimization embedded in Python programming\\nlanguage. PyOptInterface uses lightweight and compact data structure to bridge\\nhigh-level entities in optimization models like variables and constraints to\\ninternal indices of optimizers efficiently. It supports a variety of\\noptimization solvers and a range of common problem classes. We provide\\nbenchmarks to exhibit the competitive performance of PyOptInterface compared\\nwith other state-of-the-art modeling languages.\",\"PeriodicalId\":501256,\"journal\":{\"name\":\"arXiv - CS - Mathematical Software\",\"volume\":\"48 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Mathematical Software\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2405.10130\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Mathematical Software","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2405.10130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PyOptInterface: Design and implementation of an efficient modeling language for mathematical optimization
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.