[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-08-06 UTC."],[[["\u003cp\u003eThe \u003ccode\u003elp_utils\u003c/code\u003e library provides utility functions for interacting with Linear Programming (LP) solvers within the context of the SAT solver.\u003c/p\u003e\n"],["\u003cp\u003eIt includes functions for converting between different problem representations like CpModelProto, MPModelProto, and LinearBooleanProblem.\u003c/p\u003e\n"],["\u003cp\u003eThe library also offers functionalities for scaling variables, manipulating objective functions, and detecting implied integers in the model.\u003c/p\u003e\n"],["\u003cp\u003eThese utilities aim to improve the efficiency and effectiveness of solving optimization problems by leveraging the strengths of both LP and SAT solvers.\u003c/p\u003e\n"]]],["This documentation details utility functions for interacting with LP solvers within a SAT context. Key actions include: converting between `CpModelProto`, `MPModelProto`, and `LinearProgram` formats; computing lower bounds for objectives; validating, scaling, and modifying `MPModelProto` data such as detecting implied integers, adjusting bounds, and removing near-zero terms. Other functionalities include scaling continuous variables, finding rational factors and scaling, and setting objectives in `CpModelProto`. There are also function for converting `BinaryMPModelProto` to `BooleanProblem`\n"],null,[]]
