Optimization

This book presents a short introduction to the main tools of optimization methodology including linear programming, steepest descent, conjugate gradients, and the Karush-Kuhn-Tucker-John conditions.

An extensive study for an important class of constrained optimisation problems known as Mathematical Programs with Equilibrium Constraints.

A comprehensive and unique volume by the master of combinatorial game theory.

First comprehensive, accessible account; second edition has expanded bibliography and a new appendix surveying recent research.

This book on symmetric programming is for graduate students who have already taken a graduate course in microeconomic theory.

This book on symmetric programming is for graduate students who have already taken a graduate course in microeconomic theory.

In this 2002 book, the author develops the necessary background in probability theory and Markov chains then discusses important computing applications.

This book provides step-by-step descriptions of how to formulate numerical problems and develops techniques for solving them.

This book addresses the problem of the uncertainty of processing time in a stochastic environment.

This book reviews the development of physics-based modeling and sensor-based data fusion for optimizing medical decision making in connection with spatiotemporal cardiovascular disease processes.

The book contains selected contributions from the 48th Annual Meeting of the EURO Working Group on Operational Research Applied to Health Services (ORAHS 2022) held in Bergamo, Italy, July 2022.

New up-to-date edition of this influential classic - the bible on Markov chains in general state spaces is back.

Shows how morality can both emerge and persist in a wide variety of social environments.

A thorough introduction to a burgeoning interdisciplinary field, with an emphasis on foundational material.

Presents seminal papers from the Caltech-UCLA ''Cabal Seminar'', unpublished material, and related new papers.

A fascinating introduction to the key concepts and ideas of game theory.

This book argues that patents and copyrights are not necessary for innovation and overall do not serve the public good.

From foundations to state-of-the-art; the tools and philosophy you need to build network models.

This book, first published in 2007, covers algorithmic game theory, with contributions from all the leading researchers.

In this book, the authors reconceptualize existing macroeconomics by treating equilibria as statistical distributions, not as fixed points.

This book presents, compares, and develops various techniques for estimating market power - the ability to set price profitably above marginal cost.

This book is a masterful unification of disparate fields and lessons from nature and derives comprehensible and realistic design principles.

Surveys topics in the theory and applications of dynamical systems subject to random shocks.

Political Game Theory is a self-contained introduction to game theory and its applications to political science.

A graduate textbook which applies advances in optimization methods to solve practical problems in mathematical finance.

A modern treatment of modeling, analysis and control, covering fundamental theory, practical implementation, and advanced strategies.

This book explains why the global community has been successful in correcting some recent large-scale problems, but not others.

A collection of essays on two different accounts of practical reason.

This book provides a general framework for repeated game playing, adaptive data compression, sequential investments, sequential pattern analysis and other problems.

This self-contained beginning graduate text covers linear and integer programming, polytopes, matroids and matroid optimization, shortest paths, and network flows.

In The Grammar of Society, first published in 2006, Cristina Bicchieri examines social norms, including fairness, cooperation, and reciprocity.

First published in 2005, this book investigates many topics in natural selection within the context of Darwinian dynamics and evolutionary game theory.

This volume introduces the reader to game-theoretic treatments of group formation.

Investigates efficiency properties such as Pareto maximality and fairness properties such as envy-freeness in a geometric context.

Upper-division textbook covering foundations of constraint programming and applications to scheduling, optimisation etc.

This book accessibly surveys the conceptual advances in economics for a broad social sciences audience.

This 2000 text applies modern advances in game theory to the analysis of competition policy.

"e;Mind-exercising and thought-provoking.

Suitable for advanced undergraduates and graduate students, this text surveys the classical theory of the calculus of variations.

Important text examines most significant algorithms for optimizing large systems and clarifying relations between optimization procedures.

Designed primarily for economists and those interested in management economics who are not necessarily accomplished mathematicians, this text offers a clear, concise exposition of the relationship of linear programming to standard economic analysis.

"e;Cartan's work provides a superb text for an undergraduate course in advanced calculus, but at the same time it furnishes the reader with an excellent foundation for global and nonlinear algebra.

A modern, up-to-date introduction to optimization theory and methods This authoritative book serves as an introductory text to optimization at the senior undergraduate and beginning graduate levels.

A comprehensive introduction to convexity and optimization inRn This book presents the mathematics of finite dimensionalconstrained optimization problems.

* Unique in its survey of the range of topics.

A comprehensive treatment on the use of quantitative modeling for decision making and best practices in the service industries Making up a significant part of the world economy, the service sector is a rapidly evolving field that is relied on to dictate the public's satisfaction and success in various areas of everyday life, from banking and communications to education and healthcare.

A unified view of metaheuristics This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling.

Real-world problems and modern optimization techniques to solve them Here, a team of international experts brings together core ideas for solving complex problems in optimization across a wide variety of real-world settings, including computer science, engineering, transportation, telecommunications, and bioinformatics.

This is the first book devoted entirely to Particle Swarm Optimization (PSO), which is a non-specific algorithm, similar to evolutionary algorithms, such as taboo search and ant colonies.

This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory.