Optimization

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

This edited book discusses creative and recent developments of fuzzy systems and its real-life applications of multiple criteria decision making.

This volume contains a selection of eighteen peer-reviewed articles that were presented at the 5th International Conference on Multivariate Approximation, held in Witten-Bommerholz in September 2002.

In this book Lukas Graf studies dynamic network flows which are a model for individual car traffic in road networks.

In recent years, scientists have applied the principles of complex systems science to increasingly diverse fields.

This monograph, now in a thoroughly revised second edition, offers the latest research on random sets.

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

Three series of lectures were given at the 34th Probability Summer School in Saint-Flour (July 6-24, 2004), by the Professors Cerf, Lyons and Slade.

The focus of the present volume is stochastic optimization of dynamical systems in discrete time where - by concentrating on the role of information regarding optimization problems - it discusses the related discretization issues.

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 an enticing introduction to tropical circuits and their use as a rigorous mathematical model for dynamic programming (DP), which is one of the most fundamental algorithmic paradigms for solving combinatorial, discrete optimization problems.

This research monograph offers a general theory which encompasses almost all known general theories in such a way that many practical applications can be obtained.

Over the last 25 years, evolutionary game theory has grown with theoretical contributions from the disciplines of mathematics, economics, computer science and biology.

The need of optimal partition arises from many real-world problems involving the distribution of limited resources to many users.

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

This revised, updated edition provides a comprehensive and rigorous description of the application of Hamilton's principle to continuous media.

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.

From a zoologist and psychologist, an astonishing look at the biological and strategic roots of human decisionsHumans, like bacteria, woodchucks, chimpanzees, and other animals, compete or cooperate in order to get food, shelter, territory, and other resources to survive.

This accessible introduction features case studies in online advertising, spectrum auctions, kidney exchange, and network management.

The computer science problem whose solution could transform life as we know itThe P-NP problem is the most important open problem in computer science, if not all of mathematics.

This book presents the fundamentals of evolutionary game theory and applies them to the analysis of epidemics, which is of paramount importance in the aftermath of the worldwide COVID-19 pandemic.

This book describes the interplay of mechanics, electronics, electrotechnics, automation and biomechanics.

Since nonsmooth optimization problems arise in a diverse range of real-world applications, the potential impact of efficient methods for solving such problems is undeniable.

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.

This book is a collection of high-quality research papers presented at the International Conference on Smart and Intelligent Systems (SIS 2021), which will be held in Velagapudi Ramakrishna Siddhartha Engineering College (VRSEC), Andhra Pradesh, India, during February 25-26, 2021, in virtual mode.

This book presents an introduction to Evolutionary Game Theory (EGT) which is an emerging field in the area of complex systems attracting the attention of researchers from disparate scientific communities.

Concise yet rigorous, this textbook provides a clear and systematic introduction to the theory and application of dynamic economic models.

Revised and updated for the second edition, this textbook presents over 100 exercises on industrial organization with detailed answer keys.

This book compiles research and surveys devoted to the areas of mathematical analysis, approximation theory, and optimization.

Offers an up-to-date, unified treatment of combinatorial algorithms to solve network flow problems for graduate students and professionals.

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

The papers published in this volume focus on some of the most recent devel- ments in complementarity theory, variational principles, stability theory of fu- tional equations, nonsmooth optimization, and various other important topics of nonlinear analysis and optimization.

This monograph introduces a new mathematical model in population dynamics that describes two species sharing the same environmental resources in a situation of open hostility.

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

Thistextbook approaches optimization from a multi-aspect, multi-criteria perspective.

This book provides a comprehensive presentation of classical and advanced topics in estimation and control of dynamical systems with an emphasis on stochastic control.

Various modelling and control of two-link flexible manipulators are presented in this book.

This book presents efficient metaheuristic algorithms for optimal design of structures.

This unique book presents decision analysis in the context of mathematical modeling and game theory.

This is a book for those who want to understand the main ideas in the theory of optimal problems.

This book introduces several mathematical models in assembly line balancing based on stochastic programming and develops exact and heuristic methods to solve them.

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

In recent years, non-linear optimization has had a crucial role in the development of modern techniques at the interface of machine learning and imaging.

This book is an original-the first-ever treatment of the mathematics of Luck.

This book focuses on the new possibilities and approaches to social modeling currently being made possible by an unprecedented variety of datasets generated by our interactions with modern technologies.

Basic Gambling Mathematics: The Numbers Behind the Neon, Second Edition explains the mathematics involved in analyzing games of chance, including casino games, horse racing and other sports, and lotteries.

In a unified form, this monograph presents fundamental results on the approximation of centralized and decentralized stochastic control problems, with uncountable state, measurement, and action spaces.

This book presents state-of-the-art research advances in the field of biologically inspired cooperative control theories and their applications.

Nonlinear Assignment Problems (NAPs) are natural extensions of the classic Linear Assignment Problem, and despite the efforts of many researchers over the past three decades, they still remain some of the hardest combinatorial optimization problems to solve exactly.