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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2016
ISBN 10: 3319340956 ISBN 13: 9783319340951
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In den WarenkorbPaperback. Zustand: Brand New. 272 pages. 9.25x6.10x0.62 inches. In Stock.
Sprache: Englisch
Verlag: Springer International Publishing, 2016
ISBN 10: 3319340956 ISBN 13: 9783319340951
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents 8 tutorial lectures given by leading researchers at the 16th edition of the International School on Formal Methods for the Design of Computer, Communication and Software Systems, SFM 2016, held in Bertinoro, Italy, in June 2016.SFM 2016 was devoted to the Quantitative Evaluation of Collective Adaptive Systems and covered topics such as self-organization in distributed systems, scalable quantitative analysis, spatio-temporal models, and aggregate programming.
Taschenbuch. Zustand: Neu. Formal Methods for the Quantitative Evaluation of Collective Adaptive Systems | 16th International School on Formal Methods for the Design of Computer, Communication, and Software Systems, SFM 2016, Bertinoro, Italy, June 20-24, 2016, Advanced Lectures | Marco Bernardo (u. a.) | Taschenbuch | Lecture Notes in Computer Science | vii | Englisch | 2016 | Springer | EAN 9783319340951 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 272 | Sprache: Englisch | Produktart: Bücher | This book presents 8 tutorial lectures given by leading researchers at the 16th edition of the International School on Formal Methods for the Design of Computer, Communication and Software Systems, SFM 2016, held in Bertinoro, Italy, in June 2016. SFM 2016 was devoted to the Quantitative Evaluation of Collective Adaptive Systems and covered topics such as self-organization in distributed systems, scalable quantitative analysis, spatio-temporal models, and aggregate programming.