Parrini, Alessandro (2009): Algoritmi di flusso massimo al minimo costo.

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Abstract
This work concerns the maximum flows – minimum cost problem and its main algorithmic solutions. Such a problem involves determining the least cost shipment of a commodity through a capacitated network in order to satisfy demands at certain vertices using supplies available at other vertices. It generalizes both the shortest path problem and the maximum flow problem. The search for this particular flow can be obtained by interfacing the "maximum flow algorithm" (by Ford & Fulkerson) with a "shortest path algorithm" (we choose the one by Dijkstra): this will lead to two new algorithms: the "cyclecanceling algorithm" and "successive shortest path algorithm".
Item Type:  MPRA Paper 

Original Title:  Algoritmi di flusso massimo al minimo costo 
English Title:  Maximum flow  minimum cost algorithms 
Language:  Italian 
Keywords:  maximum flow algorithm; shortest path problem; cyclecanceling algorithm; successive shortest path algorithm 
Subjects:  C  Mathematical and Quantitative Methods > C4  Econometric and Statistical Methods: Special Topics > C44  Operations Research ; Statistical Decision Theory C  Mathematical and Quantitative Methods > C0  General C  Mathematical and Quantitative Methods > C6  Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61  Optimization Techniques ; Programming Models ; Dynamic Analysis 
Item ID:  39759 
Depositing User:  Alessandro Parrini 
Date Deposited:  03. Jul 2012 06:26 
Last Modified:  08. Sep 2015 12:20 
References:  Brucker P. & Knust S. (2006), Complex Scheduling, Springer, Berlin. Hillier, F. S. & Lieberman, G. J. (2005), Ricerca Operativa, McGrawHill, Milano. Roses, K. H., Micheals, J. G., Gross, J. L., Grossman, J. W. & Shier D. R. (2000), Handbook of Discrete and Combinatorial Mathematics, CRC Press, Boca Raton, Florida. Schrijver A. (2003), A course in Combinatorial Optimization, Lecture notes, Amsterdam. 
URI:  https://mpra.ub.unimuenchen.de/id/eprint/39759 