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Titlebook: Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques; 15th International W Anupam Gupta,Klaus Jansen,Roc

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樓主: Maudlin
31#
發(fā)表于 2025-3-26 21:30:48 | 只看該作者
Kardiovaskul?re Funktion bei Belastungtion is free, which is not true for most systems. This paper investigates the complexity of the problem when a processor has to perform a certain amount of overhead (extra work) before it resumes the execution of a job preempted before. Such overhead causes delay to all unfinished jobs. In this pape
32#
發(fā)表于 2025-3-27 03:25:43 | 只看該作者
33#
發(fā)表于 2025-3-27 06:23:58 | 只看該作者
34#
發(fā)表于 2025-3-27 13:20:06 | 只看該作者
35#
發(fā)表于 2025-3-27 14:37:32 | 只看該作者
Ergometrie zur Therapiekontrolle,aximizing the total weight of completed jobs. Every job has a size and a weight associated with it. A newly released job must be either assigned to start running immediately on a machine or otherwise it is dropped. It is also possible to drop an already scheduled job, but only completed jobs contrib
36#
發(fā)表于 2025-3-27 20:16:56 | 只看該作者
Ergometrie bei Hochdruckkrankenand that each such program can be solved by a computer to bound the approximation factor. Obtaining an UPFRP is straightforward, and can be used as an alternative to analytical proofs, that are usually very long and tedious. We apply this technique to the Metric Facility Location Problem (MFLP) and
37#
發(fā)表于 2025-3-27 23:54:42 | 只看該作者
https://doi.org/10.1007/978-3-642-70372-0ost .(1) constraints admit a non-trivial approximation algorithm, in the sense that one can beat (by an additive constant) the approximation ratio achieved by the naive algorithm that simply picks a random assignment. We consider the analogous question for ordering CSPs, where the goal is to find a
38#
發(fā)表于 2025-3-28 04:58:09 | 只看該作者
39#
發(fā)表于 2025-3-28 09:01:29 | 只看該作者
Basic Data for the Design of Consoles,ow a polynomial-time deterministic algorithm that on rank . lattice . outputs a set of points at least one of which is .-far from ., where . stands for the covering radius of . (i.e., the maximum possible distance of a point in space from .). As an application, we show that the Covering Radius Probl
40#
發(fā)表于 2025-3-28 11:26:19 | 只看該作者
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