[[["เข้าใจง่าย","easyToUnderstand","thumb-up"],["แก้ปัญหาของฉันได้","solvedMyProblem","thumb-up"],["อื่นๆ","otherUp","thumb-up"]],[["ไม่มีข้อมูลที่ฉันต้องการ","missingTheInformationINeed","thumb-down"],["ซับซ้อนเกินไป/มีหลายขั้นตอนมากเกินไป","tooComplicatedTooManySteps","thumb-down"],["ล้าสมัย","outOfDate","thumb-down"],["ปัญหาเกี่ยวกับการแปล","translationIssue","thumb-down"],["ตัวอย่าง/ปัญหาเกี่ยวกับโค้ด","samplesCodeIssue","thumb-down"],["อื่นๆ","otherDown","thumb-down"]],["อัปเดตล่าสุด 2024-08-09 UTC"],[[["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"]]
