DistMat: Coomputes distance matrix
In kavetinaveen/HeuristicsVRP: To find greedy routes using heuristic algorithms
Description
Usage
Arguments
Examples
Description
Coomputes distance matrix
Usage
1
DistMat(locations, method = "euclidean")
Arguments
locations
– [ID, X, Y] Node id and X, Y co-ordinates/ Long, Lat
method
– Metric to calculate distnace between nodes. Feasible methods for X-Y co-ordinates c("euclidean", "maximum", "manhattan", "canberra", "binary" or "minkowski"); Feasible methods for Long-Lat c(distCosine, distHaversine). Default: "euclidean". Note: Please make sure that, method should be a character only for X-Y co-ordinates not for Long-Lat
Examples
1
2
kavetinaveen/HeuristicsVRP documentation built on May 20, 2019, 7:53 a.m.
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Description Usage Arguments Examples
Description
Coomputes distance matrix
Usage
1 | DistMat(locations, method = "euclidean")
|
Arguments
locations |
– [ID, X, Y] Node id and X, Y co-ordinates/ Long, Lat |
method |
– Metric to calculate distnace between nodes. Feasible methods for X-Y co-ordinates c("euclidean", "maximum", "manhattan", "canberra", "binary" or "minkowski"); Feasible methods for Long-Lat c(distCosine, distHaversine). Default: "euclidean". Note: Please make sure that, method should be a character only for X-Y co-ordinates not for Long-Lat |
Examples
1 2 |
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