lapjv: Solves a linear assignment problem using the Jonker-Vogenant...
In dpmcsuss/iGraphMatch: Tools for Graph Matching
lapjv R Documentation
Solves a linear assignment problem using the Jonker-Vogenant algorithm or LAPMOD variant
Description
Find the matching of rows to columns that minimizes or maximizes
the cost. See do_lap for usage.
Usage
lapjv(cost, maximize = FALSE)
lapmod(cost, maximize = FALSE)
Arguments
cost
For lapjv, an object that can be coerced to a matrix. For lapmod, a sparseMatrix.
maximize
If FALSE (default) then costs are minimized and if TRUE the
costs are maximized
Details
The C++ code for these method is modified from code in the
python lapjv package.
The cost matrix is padded with a single row and column of very large entries that
helps to avoid stability issues with the algorithms.
Value
The assignment of rows to columns as a vector.
References
R. Jonker, A. Volgenant (1987). A shortest augmenting path algorithm
for dense and sparse linear assignment problems. Computing, pages 325-340.
A. Volgenant (1996). Linear and Semi-Assignment Problems: A
Core Oriented Approach. Computer Ops Res., pages 917-932.
dpmcsuss/iGraphMatch documentation built on May 22, 2024, 8:52 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| lapjv | R Documentation |
Solves a linear assignment problem using the Jonker-Vogenant algorithm or LAPMOD variant
Description
Find the matching of rows to columns that minimizes or maximizes the cost. See do_lap for usage.
Usage
lapjv(cost, maximize = FALSE)
lapmod(cost, maximize = FALSE)
Arguments
cost |
For lapjv, an object that can be coerced to a matrix. For lapmod, a sparseMatrix. |
maximize |
If FALSE (default) then costs are minimized and if TRUE the costs are maximized |
Details
The C++ code for these method is modified from code in the python lapjv package.
The cost matrix is padded with a single row and column of very large entries that helps to avoid stability issues with the algorithms.
Value
The assignment of rows to columns as a vector.
References
R. Jonker, A. Volgenant (1987). A shortest augmenting path algorithm for dense and sparse linear assignment problems. Computing, pages 325-340.
A. Volgenant (1996). Linear and Semi-Assignment Problems: A Core Oriented Approach. Computer Ops Res., pages 917-932.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.