Stochastic Algorithms: Foundations and Applications : 5th International Symposium, SAGA 2009 Sapporo, Japan, October 26-28, 2009 Proceedings

Thomas Zeugmann

ISBN 10: 3642049435 / ISBN 13: 9783642049439

Verlag: Springer Berlin Heidelberg, 2009

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 5th International Symposium on Stochastic Algorithms, Foundations and Applications, SAGA 2009, held in Sapporo, Japan, in October 2009. The 15 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections on learning, graphs, testing, optimization and caching, as well as stochastic algorithms in bioinformatics.

Bestandsnummer des Verkäufers 9783642049439

Bibliografische Details

• Titel: Stochastic Algorithms: Foundations and Applications : 5th International Symposium, SAGA 2009 Sapporo, Japan, October 26-28, 2009 Proceedings
• Verlag: Springer Berlin Heidelberg
• Erscheinungsjahr: 2009
• Sprache: Englisch
• ISBN-10: 3642049435
• ISBN-13: 9783642049439
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

This book constitutes the refereed proceedings of the 5th International Symposium on Stochastic Algorithms, Foundations and Applications, SAGA 2009, held in Sapporo, Japan, in October 2009. The 15 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections on learning, graphs, testing, optimization and caching, as well as stochastic algorithms in bioinformatics.

Von der hinteren Coverseite

This book constitutes the refereed proceedings of the 5th International Symposium on Stochastic Algorithms, Foundations and Applications, SAGA 2009, held in Sapporo, Japan, in October 2009.

The 15 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections on learning, graphs, testing, optimization and caching, as well as stochastic algorithms in bioinformatics.