Learn R Programming
rlemon (version 0.2.1)

GrossoLocatelliPullanMcRunner: LEMON runners

Description

These "runner" functions provide a slightly lower-level access to LEMON. See "Details".

Usage

GrossoLocatelliPullanMcRunner(arcSources, arcTargets, numNodes)
getBipartitePartitionsRunner(arcSources, arcTargets, numNodes)
getAndCheckTopologicalSortRunner(arcSources, arcTargets, numNodes)
getTopologicalSortRunner(arcSources, arcTargets, numNodes)
IsConnectedRunner(arcSources, arcTargets, numNodes)
IsAcyclicRunner(arcSources, arcTargets, numNodes)
IsTreeRunner(arcSources, arcTargets, numNodes)
IsBipartiteRunner(arcSources, arcTargets, numNodes)
IsStronglyConnectedRunner(arcSources, arcTargets, numNodes)
IsDAGRunner(arcSources, arcTargets, numNodes)
IsBiNodeConnectedRunner(arcSources, arcTargets, numNodes)
IsBiEdgeConnectedRunner(arcSources, arcTargets, numNodes)
IsLoopFreeRunner(arcSources, arcTargets, numNodes)
IsParallelFreeRunner(arcSources, arcTargets, numNodes)
IsSimpleGraphRunner(arcSources, arcTargets, numNodes)
IsEulerianRunner(arcSources, arcTargets, numNodes)
CountBiEdgeConnectedComponentsRunner(arcSources, arcTargets, numNodes)
CountConnectedComponentsRunner(arcSources, arcTargets, numNodes)
CountBiNodeConnectedComponentsRunner(arcSources, arcTargets, numNodes)
CountStronglyConnectedComponentsRunner(arcSources, arcTargets, numNodes)
FindStronglyConnectedComponentsRunner(arcSources, arcTargets, numNodes)
FindStronglyConnectedCutArcsRunner(arcSources, arcTargets, numNodes)
FindBiEdgeConnectedCutEdgesRunner(arcSources, arcTargets, numNodes)
FindBiNodeConnectedComponentsRunner(arcSources, arcTargets, numNodes)
FindBiNodeConnectedCutNodesRunner(arcSources, arcTargets, numNodes)
FindConnectedComponentsRunner(arcSources, arcTargets, numNodes)
FindBiEdgeConnectedComponentsRunner(arcSources, arcTargets, numNodes)
GraphCompatabilityConverter(nodesList, arcSources, arcTargets)
BfsRunner(arcSources, arcTargets, numNodes, startNode = -1L, endNode = -1L)
DfsRunner(arcSources, arcTargets, numNodes, startNode = -1L, endNode = -1L)
MaxCardinalitySearchRunner(
  arcSources,
  arcTargets,
  arcCapacities,
  numNodes,
  startNode = -1L
)
CirculationRunner(
  arcSources,
  arcTargets,
  arcLowerBound,
  arcUpperBound,
  nodeSupplies,
  numNodes
)
PreflowRunner(
  arcSources,
  arcTargets,
  arcDistances,
  sourceNode,
  destinationNode,
  numNodes
)
EdmondsKarpRunner(
  arcSources,
  arcTargets,
  arcDistances,
  sourceNode,
  destinationNode,
  numNodes
)
MaximumWeightPerfectMatchingRunner(
  arcSources,
  arcTargets,
  arcWeights,
  numNodes
)
MaximumWeightFractionalPerfectMatchingRunner(
  arcSources,
  arcTargets,
  arcWeights,
  numNodes
)
MaximumWeightFractionalMatchingRunner(
  arcSources,
  arcTargets,
  arcWeights,
  numNodes
)
MaximumWeightMatchingRunner(arcSources, arcTargets, arcWeights, numNodes)
MaximumCardinalityMatchingRunner(arcSources, arcTargets, numNodes)
MaximumCardinalityFractionalMatchingRunner(arcSources, arcTargets, numNodes)
CycleCancellingRunner(
  arcSources,
  arcTargets,
  arcCapacities,
  arcCosts,
  nodeSupplies,
  numNodes
)
CapacityScalingRunner(
  arcSources,
  arcTargets,
  arcCapacities,
  arcCosts,
  nodeSupplies,
  numNodes
)
CostScalingRunner(
  arcSources,
  arcTargets,
  arcCapacities,
  arcCosts,
  nodeSupplies,
  numNodes
)
NetworkSimplexRunner(
  arcSources,
  arcTargets,
  arcCapacities,
  arcCosts,
  nodeSupplies,
  numNodes
)
NagamochiIbarakiRunner(arcSources, arcTargets, arcWeights, numNodes)
HaoOrlinRunner(arcSources, arcTargets, arcWeights, numNodes)
GomoryHuTreeRunner(arcSources, arcTargets, arcWeights, numNodes)
HowardMmcRunner(arcSources, arcTargets, arcDistances, numNodes)
KarpMmcRunner(arcSources, arcTargets, arcDistances, numNodes)
HartmannOrlinMmcRunner(arcSources, arcTargets, arcDistances, numNodes)
KruskalRunner(arcSources, arcTargets, arcDistances, numNodes)
MinCostArborescenceRunner(
  arcSources,
  arcTargets,
  arcDistances,
  sourceNode,
  numNodes
)
PlanarCheckingRunner(arcSources, arcTargets, numNodes)
PlanarEmbeddingRunner(arcSources, arcTargets, numNodes)
PlanarColoringRunner(arcSources, arcTargets, numNodes, useFiveAlg = TRUE)
PlanarDrawingRunner(arcSources, arcTargets, numNodes)
SuurballeRunner(
  arcSources,
  arcTargets,
  arcDistances,
  numNodes,
  startNode,
  endNode
)
DijkstraRunner(arcSources, arcTargets, arcDistances, numNodes, startNode)
BellmanFordRunner(arcSources, arcTargets, arcDistances, numNodes, startNode)
ChristofidesRunner(
  arcSources,
  arcTargets,
  arcDistances,
  numNodes,
  defaultEdgeWeight = 999999L
)
GreedyTSPRunner(
  arcSources,
  arcTargets,
  arcDistances,
  numNodes,
  defaultEdgeWeight = 999999L
)
InsertionTSPRunner(
  arcSources,
  arcTargets,
  arcDistances,
  numNodes,
  defaultEdgeWeight = 999999L
)
NearestNeighborTSPRunner(
  arcSources,
  arcTargets,
  arcDistances,
  numNodes,
  defaultEdgeWeight = 999999L
)
Opt2TSPRunner(
  arcSources,
  arcTargets,
  arcDistances,
  numNodes,
  defaultEdgeWeight = 999999L
)
lemon_runners()

Value

Algorithm results

Arguments

arcSources

a vector corresponding to the source nodes of a graph’s edges

arcTargets

a vector corresponding to the destination nodes of a graph’s edges

numNodes

the number of nodes in the graph

nodesList

a vector of all the nodes in the graph

startNode

in path-based algorithms, the start node of the path

endNode

in path-based algorithms, the end node of the path

arcCapacities

vector corresponding to the capacities of nodes of a graph’s edges

arcLowerBound

vector corresponding to the lower-bound capacities of nodes of a graph’s edges

arcUpperBound

vector corresponding to the upper-bound capacities of nodes of a graph’s edges

nodeSupplies

vector corresponding to the supplies of each node of the graph

arcDistances

vector corresponding to the distances of a graph’s edges

sourceNode

in flow-based algorithms, the source node of the flow

destinationNode

in flow-based algorithms, the destination node of the flow

arcWeights

vector corresponding to the weights of a graph’s arcs

arcCosts

vector corresponding to the costs of nodes of a graph’s edges

useFiveAlg

if TRUE (default), run a 5-color algorithm. If FALSE, runs a faster 6-coloring algorithm instead.

defaultEdgeWeight

The default edge weight if an edge is not-specified (default value 999999)

Details

Internally, all exported rlemon functions call a "runner" function to interface with the C++, for example, MaxFlow(..., algorithm = "PreFlow") will call PreFlowRunner(...).

In almost all cases, users will want to stick with the exported functions.

Runners differ from exported functions in a few ways:

  1. Exported functions provide input checking.

  2. Exported functions provide slightly cleaner output, such as converting 0/1 boolean into logical.

  3. Any list which is returned from an exported function will be named.

  4. The arcWeights argument is optional to MaxMatching(), automatically generating a constant weight if it is excluded. arcWeights is not optional in MaxMatchingRunner().