Combinatorial game theory. Graduate studies in mathematics; Bd. 146.

Siegel, Aaron N.:

ISBN 10: 082185190X / ISBN 13: 9780821851906

Verlag: Providence, American Math. Soc, 2013

Beschreibung

XIV, 523 S. Ex-library with stamp and library-signature. GOOD condition, some traces of use. C-02508 9780821851906 Sprache: Englisch Gewicht in Gramm: 1150.

Bestandsnummer des Verkäufers 2488373

Bibliografische Details

• Titel: Combinatorial game theory. Graduate studies in mathematics; Bd. 146.
• Verlag: Providence, American Math. Soc
• Erscheinungsjahr: 2013
• Sprache: Englisch
• ISBN-10: 082185190X
• ISBN-13: 9780821851906
• Einband: Hardcover
• Gewicht: 1150 Gramm
• Verkäuferkataloge:
  • SA MATHEMATIK

Über diesen Titel

Inhaltsangabe

Combinatorial game theory is the study of two-player games with no hidden information and no chance elements. The theory assigns algebraic values to positions in such games and seeks to quantify the algebraic and combinatorial structure of their interactions. Its modern form was introduced thirty years ago, with the publication of the classic Winning Ways for Your Mathematical Plays by Berlekamp, Conway, and Guy, and interest has rapidly increased in recent decades.

This book is a comprehensive and up-to-date introduction to the subject, tracing its development from first principles and examples through many of its most recent advances. Roughly half the book is devoted to a rigorous treatment of the classical theory; the remaining material is an in-depth presentation of topics that appear for the first time in textbook form, including the theory of misere quotients and Berlekamp's generalised temperature theory.

Packed with hundreds of examples and exercises and meticulously cross-referenced, Combinatorial Game Theory will appeal equally to students, instructors, and research professionals. More than forty open problems and conjectures are mentioned in the text, highlighting the many mysteries that still remain in this young and exciting field. Aaron Siegel holds a Ph.D. in mathematics from the University of California, Berkeley and has held positions at the Mathematical Sciences Research Institute and the Institute for Advanced Study. He was a partner at Berkeley Quantitative, a technology-driven hedge fund, and is presently employed by Twitter, Inc.

Über die Autorin bzw. den Autor

Aaron N. Siegel, San Francisco, CA, USA.