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Our heuristic is fairly stable relative to the minimum cost algorithm, and when the degree constraint is relaxed, it approximates the minimum cost.
Dijkstra' minimum cost algorithm solves Eq. 7 for any graph with non-negative arc costs [ 28].
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Therefore, a fast heuristic model was developed based on the minimum-cost algorithm, using the unimodular properties of the model for obtaining integral results.
A new trusted opportunistic forwarding model is proposed by choosing the trusted and highest priority candidate forwarder, then a trusted minimum cost routing algorithm (MCOR) is formally formulated, the correctness and effectiveness of this algorithm from theoretical analysis are also approved.
A straightforward implementation of a minimum cost path algorithm in D takes time O(n2).
Phase unwrapping was done using a minimum cost flow algorithm (Costantini and Rosen 1999).
Therefore, a minimum cost path algorithm can be used to find the optimal spanning tree rooted at the given node.
We develop a minimum cost flow algorithm for the case in which demands may be split across multiple rings, and provide a transformation to a maximum flow problem for specially structured data.
Sequences predicted to form long coiled-coil domains were analyzed for family relationships and conservation across species in an all-against-all approach using the Smith-Waterman sequence comparison algorithm followed by clustering based on an adaptation of Kruskal's minimum cost spanning tree algorithm [ 56, 57].
By considering the metric defined by the minimum cost perfect matching algorithm between sets, [10] then explains how such sets are embedded into ℓ1.
The phase unwrapping was undertaken using the Minimum Cost Flow (MCF) algorithm, where low-quality pixels are masked out, and the remaining data are triangulated and residues are identified.
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