In the OptimizeSingleRoute() and Optimize() methods, if both "cumul_values"
and "cost" parameters are null, we don't optimize the cost and stop at the
first feasible solution in the linear solver (since in this case only
feasibility is of interest).
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-08-06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."],[[["`DimensionCumulOptimizerCore` is a utility class used for setting constraints and solving optimization problems related to routing dimensions within the OR-Tools library."],["It provides methods for optimizing the cumulative values and breaks of a dimension, for single routes or the entire problem."],["Optimization can be performed with or without considering resource constraints and costs, allowing for flexibility in problem solving."],["The class offers functions like `Optimize`, `OptimizeAndPack`, and variations for single routes and resources, to address different optimization scenarios."],["Methods like `OptimizeSingleRoute` and `Optimize` allow for focusing on feasibility if cost parameters are not provided."]]],[]]
