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Towards a discipline of dynamic programming

dc.contributor.authorGiegerich, Robert
dc.contributor.authorMeyer, Carsten
dc.contributor.authorSteffen, Peter
dc.contributor.editorSchubert, Sigrid E.
dc.contributor.editorReusch, Bernd
dc.contributor.editorJesse, Norbert
dc.date.accessioned2019-11-28T09:31:13Z
dc.date.available2019-11-28T09:31:13Z
dc.date.issued2002
dc.description.abstractDynamic programming is a classic programming technique, applicable in a wide variety of domains, like stochastic systems analysis, operations research, combinatorics of discrete structures, ow problems, parsing ambiguous languages, or biosequence analysis. Yet, heretofore no methodology was available guiding the design of such algorithms. The matrix recurrences that typically describe a dynamic programming algorithm are di cult to construct, error-prone to implement, and almost impossible to debug. This article introduces an algebraic style of dynamic programming over sequence data. We de ne its formal framework including a formalization of Bellman's principle. We suggest a language for algorithm design on a convenient level of abstraction. We outline three ways of implementation, including an embedding in a lazy functional language. The workings of the new method are illustrated by a series of examples from diverse areas of computer science.en
dc.identifier.isbn3-88579-348-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/30280
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofInformatik bewegt: Informatik 2002 - 32. Jahrestagung der Gesellschaft für Informatik e.v. (GI)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-19
dc.titleTowards a discipline of dynamic programmingen
dc.typeText/Conference Paper
gi.citation.endPage44
gi.citation.publisherPlaceBonn
gi.citation.startPage3
gi.conference.date30. September - 3. Oktober 2002
gi.conference.locationDortmund
gi.conference.sessiontitleRegular Research Papers

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