Combinatorial Games (inbunden)
Fler böcker inom
Format
Häftad (Trade paperback)
Språk
Engelska
Serie
Encyclopedia of Mathematics and its Applications (del 114)
Antal sidor
750
Utgivningsdatum
2011-04-28
Förlag
Cambridge University Press
Dimensioner
229 x 157 x 38 mm
Vikt
1090 g
ISBN
9780521184755

Combinatorial Games

Tic-Tac-Toe Theory

Häftad,  Engelska, 2011-04-28
993
  • Skickas från oss inom 10-15 vardagar.
  • Fri frakt över 249 kr för privatkunder i Sverige.
Finns även som
Visa alla 2 format & utgåvor
Traditional game theory has been successful at developing strategy in games of incomplete information: when one player knows something that the other does not. But it has little to say about games of complete information, for example, tic-tac-toe, solitaire and hex. The main challenge of combinatorial game theory is to handle combinatorial chaos, where brute force study is impractical. In this comprehensive volume, József Beck shows readers how to escape from the combinatorial chaos via the fake probabilistic method, a game-theoretic adaptation of the probabilistic method in combinatorics. Using this, the author is able to determine the exact results about infinite classes of many games, leading to the discovery of some striking new duality principles. Available for the first time in paperback, it includes a new appendix to address the results that have appeared since the book's original publication.
Visa hela texten

Passar bra ihop

  1. Combinatorial Games
  2. +
  3. Probabilistic Diophantine Approximation

De som köpt den här boken har ofta också köpt Probabilistic Diophantine Approximation av József Beck (inbunden).

Köp båda 2 för 2054 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av författarna

Övrig information

József Beck is a Professor in the Mathematics Department of Rutgers University. He has received the Fulkerson Prize for Research in Discrete Mathematics and has written around 100 research publications. He is the co-author, with W. L. Chen, of the pioneering monograph Irregularities of Distribution.