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7344 books were found.
Complementarity theory is a new domain in applied mathematics and is concerned with the study of complementarity... Read More >>
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Im vorliegenden Buch werden neue Erkenntnisse der Lebensversicherungsmathematik aus dem Gebiet der Markovmodelle... Read More >>
The 9th Belgian-French-German Conference on Optimization has been held in Namur (Belgium) on September 7-11, 1998.... Read More >>
The description of the raw data showed that the production choices are considerably dispersed, but nevertheless... Read More >>
Xavier Vives applies a modern game-theoretic approach to develop a theory of oligopoly pricing. Read More >>
This book will be of interest to graduate students with some experience in game theory or mathematical programming... Read More >>
Optimization in Computational Chemistry and Molecular Biology: Local and Global Approaches covers recent developments... Read More >>
One of two volumes of the collected papers of Robert J. Aumann. The papers are organized in several categories:... Read More >>
This graduate-level text considers the Soviet ellipsoid algorithm for linear programming; efficient algorithms for... Read More >>
This major two volume collection presents some of the most influential theoretical and empirical papers on the economic... Read More >>
Provides a discussion of some relevant topics in game theory. This book contains several research topics and offers... Read More >>
A natural answer to these questions would be that the use of diagonal type Liapunov functions is frequent because... Read More >>
This book is devoted to the development of geometrie methods for studying and revealing geometrie aspects of the... Read More >>
In cooperative games, one generally assumes that the agents know exactly the joint (monetary) gains that can be... Read More >>
It could be hardly otherwise, given the success and influence of Game Theory (just think of the basic issues in... Read More >>
For a long time the techniques of solving linear optimization (LP) problems improved only marginally. This makes... Read More >>
The aim of stochastic programming is to find optimal decisions in problems which involve uncertain data. This field... Read More >>
This monograph describes up-to-date techniques for solving small to medium-sized as well as large and sparse symplectic... Read More >>