Optimization

This thoroughly revised second edition of Shimon Even''s Graph Algorithms explains algorithms directly and intuitively, in formal but simple language.

This study describes deployed applications of game theory for security for the LAX police and US Federal Air Marshals Service.

This volume, first published in 2004, contains the plenary invited talks given at main conference in the subject.

This book presents the mathematical economic theory of price determination and resource allocation from elementary to advanced levels.

A unified 2001 treatment of game theory, focusing on finding state-of-the-art solutions to issues surrounding next-generation wireless and communications networks.

This volume explores the various classes and their characteristics, treating convex functions in both Euclidean and Banach spaces.

This book provides an account of the underlying mathematics of mechanism design based on linear programming.

A simple, powerful method that is iterative and useful in a variety of settings for exact and approximate optimization.

Designed as a textbook for graduate courses on algorithms, this book presents efficient algorithms that find provably near-optimal solutions.

This introductory text clearly presents three important games in logic, from the basics to the cutting edge.

Provides the first comprehensive, unified presentation of the structural, algorithmic and applied aspects of the theory of Boolean functions.

This book provides a practical, how-to guide to CGE models suitable for use at the undergraduate college level.

This book provides a practical, how-to guide to CGE models suitable for use at the undergraduate college level.

A collection of lectures on various aspects of game theory relevant for computer scientists.

If game theory, the mathematical simulation of rational decision-making first axiomatically established by the Hungarian-born American mathematician John von Neumann, is to prove worthy of literary hermeneutics, then critics must be able to apply its models to texts written without a working knowledge of von Neumann's discipline in mind.

This interdisciplinary monograph applies the theory of games of strategy (or game theory) to an important subset of American literature: minoritarian texts.

Dynamic Systems Modelling and Optimal Control explores the applications of oil field development, energy system modelling, resource modelling, time varying control of dynamic system of national economy, and investment planning.

There is a widening gap between the current organizational reality and the tools and methods available to managers for addressing its challenges.

This book addresses the perennial question of how to promote Africa's indigenous languages as medium of instruction in educational systems.

Stephen G.

Stephen G.

This book provides overview of numerous control schemes for non-minimum phase and dead-time systems.

This ambitious book is the first to present a theoretical framework for a unified analysis of both behavioral and traditional economics.

This volume is a collection of some of the best and most influential work of Yanis Varoufakis.

This volume is a collection of some of the best and most influential work of Yanis Varoufakis.

This book critically discusses the historical backgrounds and new developments of the theories of games, decisions, and markets, with many possible applications to social and economic problems.

"e;This is an engaging and informative book on the modern practice of experimental design.

This book pursues optimal design from the perspective of mechanical properties and resistance to failure caused by cracks and fatigue.

This book pursues optimal design from the perspective of mechanical properties and resistance to failure caused by cracks and fatigue.

A PRACTICAL GUIDE TO OPTIMIZATION PROBLEMS WITH DISCRETE OR INTEGER VARIABLES, REVISED AND UPDATED The revised second edition of Integer Programming explains in clear and simple terms how to construct custom-made algorithms or use existing commercial software to obtain optimal or near-optimal solutions for a variety of real-world problems.

A PRACTICAL GUIDE TO OPTIMIZATION PROBLEMS WITH DISCRETE OR INTEGER VARIABLES, REVISED AND UPDATED The revised second edition of Integer Programming explains in clear and simple terms how to construct custom-made algorithms or use existing commercial software to obtain optimal or near-optimal solutions for a variety of real-world problems.

A guide to modern optimization applications and techniques in newly emerging areas spanning optimization, data science, machine intelligence, engineering, and computer sciences Optimization Techniques and Applications with Examples introduces the fundamentals of all the commonly used techniques in optimization that encompass the broadness and diversity of the methods (traditional and new) and algorithms.

A guide to modern optimization applications and techniques in newly emerging areas spanning optimization, data science, machine intelligence, engineering, and computer sciences Optimization Techniques and Applications with Examples introduces the fundamentals of all the commonly used techniques in optimization that encompass the broadness and diversity of the methods (traditional and new) and algorithms.

Differential Game Theory with Applications to Missiles and Autonomous Systems explains the use of differential game theory in autonomous guidance and control systems.

Differential Game Theory with Applications to Missiles and Autonomous Systems explains the use of differential game theory in autonomous guidance and control systems.

Mark H.

Mark H.

Evolutionary computation algorithms are employed to minimize functions with large number of variables.

Evolutionary computation algorithms are employed to minimize functions with large number of variables.

Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management.

Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management.

Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management.

Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management.

Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management.

Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management.

Constrained optimization is a challenging branch of operations research that aims to create a model which has a wide range of applications in the supply chain, telecommunications and medical fields.

Constrained optimization is a challenging branch of operations research that aims to create a model which has a wide range of applications in the supply chain, telecommunications and medical fields.

In the rapidly evolving domain of computational problem-solving, this book delves into the cutting-edge Automatic Generation of Algorithms (AGA) paradigm, a groundbreaking approach poised to redefine algorithm design for optimization problems.

An Application-Oriented Introduction to Essential Optimization Concepts and Best Practices Optimization is an inherent human tendency that gained new life after the advent of calculus; now, as the world grows increasingly reliant on complex systems, optimization has become both more important and more challenging than ever before.

An Application-Oriented Introduction to Essential Optimization Concepts and Best Practices Optimization is an inherent human tendency that gained new life after the advent of calculus; now, as the world grows increasingly reliant on complex systems, optimization has become both more important and more challenging than ever before.