pgr_maxFlowMinCost_Cost - Experimental - pgRouting Manual (3.2)
pgr_maxFlowMinCost_Cost - Experimental
pgr_maxFlowMinCost_Cost
- Calculates the minmum cost maximum flow in a directed graph from the source(s) to the targets(s).
Warning
Possible server crash
-
These functions might create a server crash
Warning
Experimental functions
-
They are not officially of the current release.
-
They likely will not be officially be part of the next release:
-
The functions might not make use of ANY-INTEGER and ANY-NUMERICAL
-
Name might change.
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Signature might change.
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Functionality might change.
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pgTap tests might be missing.
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Might need c/c++ coding.
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May lack documentation.
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Documentation if any might need to be rewritten.
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Documentation examples might need to be automatically generated.
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Might need a lot of feedback from the comunity.
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Might depend on a proposed function of pgRouting
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Might depend on a deprecated function of pgRouting
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Availability
-
Version 3.2.0
-
New experimental function:
-
pgr_maxFlowMinCost_Cost(Combinations)
-
-
-
Version 3.0.0
-
New experimental function
-
Description
The main characteristics are:
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The graph is directed .
-
The cost value of all input edges must be nonnegative.
-
When the maximum flow is 0 then there is no flow and 0 is returned.
-
There is no flow when a source is the same as a target .
-
-
Any duplicated value in the source(s) or target(s) are ignored.
-
Uses the pgr_maxFlowMinCost algorithm.
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Running time: \(O(U * (E + V * logV))\) , where \(U\) is the value of the max flow. \(U\) is upper bound on number of iteration. In many real world cases number of iterations is much smaller than \(U\) .
Signatures
Summary
pgr_maxFlowMinCost_Cost(Edges SQL, source, target)
pgr_maxFlowMinCost_Cost(Edges SQL, sources, target)
pgr_maxFlowMinCost_Cost(Edges SQL, source, targets)
pgr_maxFlowMinCost_Cost(Edges SQL, sources, targets)
pgr_maxFlowMinCost_Cost(Edges SQL, Combinations SQL) -- Experimental on v3.2
RETURNS FLOAT
One to One
pgr_maxFlowMinCost_Cost(Edges SQL, source, target)
RETURNS FLOAT
- Example :
-
From vertex \(2\) to vertex \(3\)
SELECT * FROM pgr_MaxFlowMinCost_Cost(
'SELECT id,
source, target,
capacity, reverse_capacity,
cost, reverse_cost FROM edge_table',
2, 3
);
pgr_maxflowmincost_cost
-------------------------
400
(1 row)
One to Many
pgr_maxFlowMinCost_Cost(Edges SQL, source, targets)
RETURNS FLOAT
- Example :
-
From vertex \(13\) to vertices \(\{7, 1, 4\}\)
SELECT * FROM pgr_MaxFlowMinCost_Cost(
'SELECT id,
source, target,
capacity, reverse_capacity,
cost, reverse_cost FROM edge_table',
13, ARRAY[7, 1, 4]
);
pgr_maxflowmincost_cost
-------------------------
450
(1 row)
Many to One
pgr_maxFlowMinCost_Cost(Edges SQL, sources, target)
RETURNS FLOAT
- Example :
-
From vertices \(\{1, 7, 14\}\) to vertex \(12\)
SELECT * FROM pgr_MaxFlowMinCost_Cost(
'SELECT id,
source, target,
capacity, reverse_capacity,
cost, reverse_cost FROM edge_table',
ARRAY[1, 7, 14], 12
);
pgr_maxflowmincost_cost
-------------------------
650
(1 row)
Many to Many
pgr_maxFlowMinCost_Cost(Edges SQL, sources, targets)
RETURNS FLOAT
- Example :
-
From vertices \(\{7, 13\}\) to vertices \(\{3, 9\}\)
SELECT * FROM pgr_MaxFlowMinCost_Cost(
'SELECT id,
source, target,
capacity, reverse_capacity,
cost, reverse_cost FROM edge_table',
ARRAY[7, 13], ARRAY[3, 9]
);
pgr_maxflowmincost_cost
-------------------------
600
(1 row)
Combinations
pgr_maxFlowMinCost_Cost(Edges SQL, Combinations SQL)
RETURNS FLOAT
- Example :
-
Using a combinations table, equivalent to calculating result from vertices \(\{7, 13\}\) to vertices \(\{3, 9\}\) .
SELECT * FROM pgr_MaxFlowMinCost_Cost(
'SELECT id,
source, target,
capacity, reverse_capacity,
cost, reverse_cost FROM edge_table',
'SELECT * FROM ( VALUES (7, 3), (13, 9) ) AS t(source, target)'
);
pgr_maxflowmincost_cost
-------------------------
600
(1 row)
Parameters
Column |
Type |
Default |
Description |
---|---|---|---|
Edges SQL |
|
Edges query as described in Inner Queries . |
|
Combinations SQL |
|
Combinations query as described in Inner Queries . |
|
source |
|
Identifier of the starting vertex of the flow. |
|
sources |
|
Array of identifiers of the starting vertices of the flow. |
|
target |
|
Identifier of the ending vertex of the flow. |
|
targets |
|
Array of identifiers of the ending vertices of the flow. |
Inner queries
- Edges SQL :
-
an SQL query of a directed graph of capacities, which should return a set of rows with the following columns:
Column |
Type |
Default |
Description |
---|---|---|---|
id |
|
Identifier of the edge. |
|
source |
|
Identifier of the first end point vertex of the edge. |
|
target |
|
Identifier of the second end point vertex of the edge. |
|
capacity |
|
Capacity of the edge (source, target)
|
|
reverse_capacity |
|
-1 |
Capacity of the edge (target, source) ,
|
cost |
|
Weight of the edge (source, target) if it exists. |
|
reverse_cost |
|
0 |
Weight of the edge (target, source) if it exists. |
Where:
- ANY-INTEGER :
-
SMALLINT, INTEGER, BIGINT
- ANY-NUMERICAL :
-
smallint, int, bigint, real, float
- Combinations SQL :
-
an SQL query which should return a set of rows with the following columns:
Column |
Type |
Default |
Description |
---|---|---|---|
source |
|
Identifier of the first end point vertex of the edge. |
|
target |
|
Identifier of the second end point vertex of the edge. |
Where:
- ANY-INTEGER :
-
SMALLINT, INTEGER, BIGINT
The function aggregates the sources and the targets, removes the duplicates, and then it calculates the result from the resultant source vertices to the target vertices.
Result Columns
Type |
Description |
---|---|
|
Minimum Cost Maximum Flow possible from the source(s) to the target(s) |
See Also
Indices and tables