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We consider the problem of finding a fundamental cycle basis with minimum total cost in an undirected graph. This problem is NP-hard and has several interesting applications. Since fundamental cycle bases correspond to spanning trees, we propose a local search algorithm, a tabu search and...
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We demonstrate that two key theorems of Amaldi et al. (Math Methods Oper Res 69:205–223, 2009 ), which they presented with rather complicated proofs, can be more easily and cleanly established using a simple and classical property of binary matroids. Besides a simpler proof, we see that both...
Persistent link: https://www.econbiz.de/10010847897
We consider the problem of finding a fundamental cycle basis with minimum total cost in an undirected graph. This problem is NP-hard and has several interesting applications. Since fundamental cycle bases correspond to spanning trees, we propose a local search algorithm, a tabu search and...
Persistent link: https://www.econbiz.de/10010950183
The Molecular Distance Geometry Problem (MDGP) consists in finding an embedding in R3 of a nonnegatively weighted simple undirected graph with the property that the Euclidean distances between embedded adjacent vertices must be the same as the corresponding edge weights. The Discretizable...
Persistent link: https://www.econbiz.de/10010574213
We demonstrate that two key theorems of Amaldi et al. (Math Methods Oper Res 69:205–223, <CitationRef CitationID="CR1">2009</CitationRef>), which they presented with rather complicated proofs, can be more easily and cleanly established using a simple and classical property of binary matroids. Besides a simpler proof, we see that both...</citationref>
Persistent link: https://www.econbiz.de/10010999900
The Distance Geometry Problem in three dimensions consists in finding an embedding in <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$${\mathbb{R}^3}$$</EquationSource> </InlineEquation> of a given nonnegatively weighted simple undirected graph such that edge weights are equal to the corresponding Euclidean distances in the embedding. This is a continuous search problem...</equationsource></inlineequation>
Persistent link: https://www.econbiz.de/10010994194
In the bottleneck hyperplane clustering problem, given n points in <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$\mathbb{R}^{d}$</EquationSource> </InlineEquation> and an integer k with 1≤k≤n, we wish to determine k hyperplanes and assign each point to a hyperplane so as to minimize the maximum Euclidean distance between each point and its assigned hyperplane. This...</equationsource></inlineequation>
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