By Panos M. Pardalos,L.S. Pitsoulis
The chapters integrated during this booklet are thinking about significant purposes and the newest algorithmic resolution techniques for NAPs. Approximation algorithms, polyhedral tools, semidefinite programming ways and heuristic strategies for NAPs are integrated, whereas purposes of this challenge category within the components of multiple-target monitoring within the context of army surveillance structures, of experimental excessive power physics, and of parallel processing are provided.
Audience: Researchers and graduate scholars within the components of combinatorial optimization, mathematical programming, operations learn, physics, and machine science.
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Nonlinear Assignment Problems: Algorithms and Applications (Combinatorial Optimization) by Panos M. Pardalos,L.S. Pitsoulis