Optimization

This edited monograph includes state-of-the-art contributions on continuous time dynamical networks with delays.

The goal in putting together this unique compilation was to present the current status of the solutions to some of the most essential open problems in pure and applied mathematics.

This is the first book combining research on the Global Environment, Catastrophic Risks and Economic Theory and Policy.

This edited book aims at presenting current research activities in the field of robust variable-structure systems.

This book presents state-of-the-art results and methodologies in modern global optimization, and has been a staple reference for researchers, engineers, advanced students (also in applied mathematics), and practitioners in various fields of engineering.

This book is the fourth in a multidisciplinary series which brings together leading researchers in the STEAM-H disciplines (Science, Technology, Engineering, Agriculture, Mathematics and Health) to present their perspective on advances in their own specific fields, and to generate a genuinely interdisciplinary collaboration that transcends parochial subject-matter boundaries.

Designed for graduate students, researchers, and engineers in mathematics, optimization, and economics, this self-contained volume presents theory, methods, and applications in mathematical analysis and approximation theory.

This book studies the approximate solutions of optimization problems in the presence of computational errors.

This book explains the most prominent and some promising new, general techniques that combine metaheuristics with other optimization methods.

This book offers a thorough examination of potential game theory and its applications in radio resource management for wireless communications systems and networking.

This book introduces methods of robust optimization in multivariateadaptive regression splines (MARS) and Conic MARS in order to handleuncertainty and non-linearity.

This book contains extended, in-depth presentations of the plenary talks from the 16th French-German-Polish Conference on Optimization, held in Krakow, Poland in 2013.

The book provides a thorough treatment of set functions, games and capacities as well as integrals with respect to capacities and games, in a mathematical rigorous presentation and in view of application to decision making.

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A unified methodology for categorizing various complexobjects is presented in this book.

This textbook provides and introduction to numerical computing and its applications in science and engineering.

Focused on efficient simulation-driven multi-fidelity optimization techniques, this monograph on simulation-driven optimization covers simulations utilizing physics-based low-fidelity models, often based on coarse-discretization simulations or other types of simplified physics representations, such as analytical models.

This book is the first in-depth guide to applying the philosophy, theory, and methods of decision analysis to creating and executing winning legal strategies.

Current research results in stochastic and deterministic global optimization including single and multiple objectives are explored and presented in this book by leading specialists from various fields.

This book presents a panorama about the recent progress of industrial mathematics from the point of view of both industrials and researchers.

This bookcovers recent advances in Complex Automated Negotiations as a widely studiedemerging area in the field of Autonomous Agents and Multi-Agent Systems.

This book contains a selection of refereed papers presented at the "e;International Conference on Operations Research (OR 2014)"e;, which took place at RWTH Aachen University, Germany, September 2-5, 2014.

This state-of-the-art collection of papers on the theory of Cournotian competition focuses on two main subjects: oligopolistic Cournot competition and contests.

This book proposes several commonly used interval-valued solution concepts of interval-valued cooperative games with transferable utility.

This book introduces multiagent planning under uncertainty as formalized by decentralized partially observable Markov decision processes (Dec-POMDPs).

Working in the fractional Laplace framework, this book provides models and theorems related to nonlocal diffusion phenomena.

This book brings together the current stateof-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novelpopulation-based evolutionary algorithm, modeled on the predator-preyrelationship, by its leading practitioners.

This contributed volume considers recent advances in dynamic games and their applications, based on presentations given at the 16th Symposium of the International Society of Dynamic Games, held July 9-12, 2014, in Amsterdam.

How does mathematics impact everyday events?

This book presents the proceedings of Positivity VII, held from 22-26 July 2013, in Leiden, the Netherlands.

This book provides a postgraduate audience the keys they need to understand and further develop a set of tools for the efficient computation of lower bounds and valid inequalities in integer programs and combinatorial optimization problems.

This edited volume is devoted to the now-ubiquitous use of computational models across most disciplines of engineering and science, led by a trio of world-renowned researchers in the field.

These lecture notes provide a self-contained introduction to regularity theory for elliptic equations and systems in divergence form.

This book presents a systematic overview of cutting-edge research in the field of parametric modeling of personal income and wealth distribution, which allows one to represent how income/wealth is distributed within a given population.

In this book, the authors propose efficient characterizations of the non-convex regions that appear in many control problems, such as those involving collision/obstacle avoidance and, in a broader sense, in the description of feasible sets for optimization-based control design involving contradictory objectives.

This book presents the use of efficientEvolutionary Computation (EC) algorithms for solving diverse real-world imageprocessing and pattern recognition problems.

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This book deals with optimization methods as tools for decision making and control in the presence of model uncertainty.

This book covers the modelling of human behaviour in the education and labour markets, which due to their interdependency are viewed as one system.

This book presents powerful techniques for solving global optimization problems on manifolds by means of evolutionary algorithms, and shows in practice how these techniques can be applied to solve real-world problems.

This book treats graph colouring as an algorithmic problem, with a strong emphasis on practical applications.

This brief introduces overlapping coalition formation games (OCF games), a novel mathematical framework from cooperative game theory that can be used to model, design and analyze cooperative scenarios in future wireless communication networks.

This book constitutes the refereed proceedings of the 6th International Conference on Decision and Game Theory for Security, GameSec 2015, held in London, UK, in November 2015.

The satellite range scheduling (SRS) problem, an important operations research problem in the aerospace industry consisting of allocating tasks among satellites and Earth-bound objects, is examined in this book.

Filling a gap in the literature caused by the recent financial crisis, this book provides a treatment of the techniques needed to model and evaluate interest rate derivatives according to the new paradigm for fixed income markets.

Are you looking for new lectures for your course on algorithms, combinatorial optimization, or algorithmic game theory?

This book constitutes thoroughly revised, selected papers of the proceedings of the 6th International Workshop on Collaborative Agents Research and Development, CARE 2015 and the Second International Workshop on Multi-agent Foundations of Social Computing, MFSC 2015, held in Istanbul, Turkey, on May 4, 2015.

Presenting a practitioner's guide to capabilities and best practices of quality control systems using the R programming language, this volume emphasizes accessibility and ease-of-use through detailed explanations of R code as well as standard statistical methodologies.

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This textbook gives a comprehensive introduction to stochastic processes and calculus in the fields of finance and economics, more specifically mathematical finance and time series econometrics.