
doi: 10.1051/ro:1999121
Summary: We first motivate and define a notion of asymptotic differential approximation ratio. For this, we introduce a new class of problems called radial problems including in particular the hereditary ones. Next, we validate the definition of the asymptotic differential approximation ratio by proving positive, conditional and negative approximation results for come combinatorial problems. We first derive a differential approximation analysis of a classical greedy algorithm for bin packing the ``first fit decreasing''. Next, we deal with minimum vertex-covering-by-cliques of a graph and the minimum edge-covering-by-complete-bipartite-subgraphs of a bipartite graph and devise a differential-approximation preserving reduction from the former to the latter. Finally, we prove two negative differential approximation results about the ability of minimum vertex-coloring to be approximated by a polynomial time approximation schema.
Combinatorial optimization, polynomial time approximation algorithm, bin packing, NP-complete problem, Abstract computational complexity for mathematical programming problems, complexity, covering, coloring
Combinatorial optimization, polynomial time approximation algorithm, bin packing, NP-complete problem, Abstract computational complexity for mathematical programming problems, complexity, covering, coloring
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