
LAPJV  JonkerVolgenant Algorithm for Linear Assignment Problem 1.0 File ID: 78528 


 LAPJV  JonkerVolgenant Algorithm for Linear Assignment Problem 1.0 License: Freeware File Size: 10.0 KB Downloads: 186 User Rating:   (1 rating) 
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LAPJV  JonkerVolgenant Algorithm for Linear Assignment Problem 1.0 Description 

Description: The JonkerVolgenant algorithm is much faster than the famous Hungarian algorithm for the Linear Assignment Problem (LAP). This Matlab implementation is modified from the original C++ code made by Roy Jonker, one of the inventors of the algorithm. It is about 10 times faster than the munkres code (v2.2) of the author. It can solve a 1000 x 1000 problem in about 3 seconds in a normal Intel Centrino processor.
V1.1 returns the dual variables and the reduced cost matrix as well. V1.2 can deal with nonsquare assignment problems. V2.0 is faster for problems with a large range of costs. V2.1 includes an option to change the cost resolution to improve performance for some problems. v2.2 removes a small bug to avoid NAN for 1x1 case. v2.3 removes a small bug to handle a cost matrix with all inf's. v2.4 fixes a bug associated with resolution to address the known problem of the algorithm. Reference: R. Jonker and A. Volgenant, "A shortest augmenting path algorithm for dense and spare linear assignment problems", Computing, Vol. 38, pp. 325340, 1987.
License: Freeware Related: about 10, Address, Algorithm, 38 pp, times, Problem, casev, and the, wellv, assignment problem, spare, option, algorithmreferencer jonker, inf, nonsquare assignment, munkres code O/S:BSD, Linux, Solaris, Mac OS X File Size: 10.0 KB Downloads: 186


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