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This book is a study of these notions and their relationship in linear and convex parametric programming models.... Read More >>
This volume offers pragmatic answers to the question: why do people settle for less in a business negotiation when... Read More >>
This title provides students with the calculation and analytical power needed to solve the widest range of engineering,... Read More >>
Game theory is a rich and active area of research of which this new volume of the Annals of the International Society... Read More >>
This book provides the reader with a general perspective of an interdisciplinary field between statistical physics... Read More >>
This book provides an introduction to the use of nonlinear modelling in medical statistics, including worked through... Read More >>
Provides the reader with a perspective of an interdisciplinary field between statistical physics and information... Read More >>
The book consists of research papers based on results presented at a conference held in Sweden to celebrate Hoang... Read More >>
There has been much recent progress in global optimization algo rithms for nonconvex continuous and discrete problems... Read More >>
This book discusses advanced topics in the area of linear models. Read More >>
Optimization problems are widespread in the mathematical modeling of real world systems. This work aims to introduce... Read More >>
Books on a technical topic - like linear programming - without exercises ignore the principal beneficiary of the... Read More >>
Accurate measurements in clinical and industrial testing are often not possible. This book describes methods which... Read More >>
Game theory has been applied to various practical problems: from antitrust analysis to monetary policy; from the... Read More >>
In this book, the author considers separable programming and, in particular, one of its important cases - convex... Read More >>
Bayesian inference and maximum entropy methods are central points of scientific inference in mathematical physics... Read More >>
The papers in this book represent a multi-discipline sampling of Bayesian statistical applications. Maximum entropy... Read More >>
Evolutionary algorithms are relatively new, powerful techniques used to find solutions to many real--world search... Read More >>