Algorithmic Topology and Classification of 3-Manifolds: 9 - Brossura

Libro 14 di 24: Algorithms and Computation in Mathematics

Matveev, Sergei

 
9783642079603: Algorithmic Topology and Classification of 3-Manifolds: 9

Sinossi

Reviews of the first edition of this book describe it as "a standard reference for algorithmic 3-dimensional topology both for graduate students and researchers". The 2nd edition adds new results, new proofs and commentaries for the benefit of the reader.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

From the reviews of the 1st edition:

"This book provides a comprehensive and detailed account of different topics in algorithmic 3-dimensional topology, culminating with the recognition procedure for Haken manifolds and including the up-to-date results in computer enumeration of 3-manifolds. Originating from lecture notes of various courses given by the author over a decade, the book is intended to combine the pedagogical approach of a graduate textbook (without exercises) with the completeness and reliability of a research monograph

All the material, with few exceptions, is presented from the peculiar point of view of special polyhedra and special spines of 3-manifolds. This choice contributes to keep the level of the exposition really elementary.

In conclusion, the reviewer subscribes to the quotation from the back cover: "the book fills a gap in the existing literature and will become a standard reference for algorithmic 3-dimensional topology both for graduate students and researchers".

R. Piergallini, Zentralblatt für Mathematik 1048 (2004)

For this 2nd edition, new results, new proofs, and commentaries for a better orientation of the reader have been added.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Altre edizioni note dello stesso titolo

9783540458982: Algorithmic Topology and Classification of 3-Manifolds: 9

Edizione in evidenza

ISBN 10:  3540458980 ISBN 13:  9783540458982
Casa editrice: Springer Nature, 2007
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