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Lineare Optimierung und Approximationsalgorithmen

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Approximationsalgorithmen
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In Abschnitt 6.2 hatten wir Max-SAT durch ein ganzzahliges Lineares Optimierungsproblem (ILP) beschrieben, dann eine Relaxierung dieses ILP gelöst und schließlich durch die Technik des Randomized Rounding eine zulässige Lösung bestimmt. Ganz ähnlich waren wir in Abschnitt 6.4 bei der Lösung von Max-CUT vorgegangen.

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7.6 Literatur zu Kapitel 7

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© 2006 B.G. Teubner Verlag / GWV Fachverlage GmbH, Wiesbaden

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(2006). Lineare Optimierung und Approximationsalgorithmen. In: Approximationsalgorithmen. Teubner. https://doi.org/10.1007/978-3-8351-9067-2_7

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