Google OR-Tools v9.11
a fast and portable software suite for combinatorial optimization
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#include <cstddef>
#include <vector>
#include "absl/base/nullability.h"
#include "absl/types/span.h"
#include "ortools/algorithms/adjustable_k_ary_heap.h"
#include "ortools/algorithms/set_cover_invariant.h"
#include "ortools/algorithms/set_cover_model.h"
Go to the source code of this file.
Classes | |
class | operations_research::SubsetIndexWithPriority |
Priority aggregate for the subset priority queue. More... | |
class | operations_research::Preprocessor |
class | operations_research::TrivialSolutionGenerator |
class | operations_research::RandomSolutionGenerator |
class | operations_research::GreedySolutionGenerator |
class | operations_research::ElementDegreeSolutionGenerator |
class | operations_research::SteepestSearch |
class | operations_research::TabuList< T > |
class | operations_research::GuidedTabuSearch |
class | operations_research::GuidedLocalSearch |
Namespaces | |
namespace | operations_research |
In SWIG mode, we don't want anything besides these top-level includes. | |
Functions | |
std::vector< SubsetIndex > | operations_research::ClearRandomSubsets (std::size_t num_subsets, SetCoverInvariant *inv) |
std::vector< SubsetIndex > | operations_research::ClearRandomSubsets (absl::Span< const SubsetIndex > focus, std::size_t num_subsets, SetCoverInvariant *inv) |
Same as above, but clears the subset indices in focus. | |
std::vector< SubsetIndex > | operations_research::ClearMostCoveredElements (std::size_t max_num_subsets, SetCoverInvariant *inv) |
std::vector< SubsetIndex > | operations_research::ClearMostCoveredElements (absl::Span< const SubsetIndex > focus, std::size_t num_subsets, SetCoverInvariant *inv) |
Same as above, but clears the subset indices in focus. | |