[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["没有我需要的信息","missingTheInformationINeed","thumb-down"],["太复杂/步骤太多","tooComplicatedTooManySteps","thumb-down"],["内容需要更新","outOfDate","thumb-down"],["翻译问题","translationIssue","thumb-down"],["示例/代码问题","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2024-08-09。"],[[["MathOpt is a library for modeling and solving mathematical optimization problems, including linear programming (LP) and mixed integer programming (MIP)."],["MathOpt allows users to define models independently of solvers, enabling easy switching between various solvers like GLOP, PDLP, CP-SAT, SCIP, GLPK, Gurobi, and HiGHS."],["MathOpt supports a wide range of features including linear and quadratic constraints and objectives, integer and continuous variables, hierarchical objectives, and specialized MIP constraints."],["MathOpt provides client libraries in C++ and Python, along with a remote solving service for larger problems."],["MathOpt offers advanced features like infeasibility analysis, incremental solving, callbacks, duality, primal and dual rays, and more."]]],["MathOpt is a library for modeling and solving mathematical optimization problems, such as LPs and MIPs. It supports continuous or integer variables, linear/quadratic constraints and objectives, and specialized MIP/conic constraints. Users can switch between solvers like GLOP, PDLP, CP-SAT, SCIP, GLPK, Gurobi, and HiGHS, independently of the model's definition. MathOpt offers C++ and Python client libraries with example, and provides features such as infeasibility analysis, incremental solving, callbacks, duality, and warm starts.\n"]]
