Optimization

"e;Optimization on Metric and Normed Spaces"e; is devoted to the recent progress in optimization on Banach spaces and complete metric spaces.

In recent years, technological advances have resulted in the rapid development of a new exciting research direction --- the interdisciplinary use of sensors for data collection, systems analysis, and monitoring.

In a world with highly competitive markets and economic instability due to capitalization, industrial competition has increasingly intensified.

Monte Carlo methods are among the most used and useful computational tools available today, providing efficient and practical algorithims to solve a wide range of scientific and engineering problems.

While there are several texts on how to solve and analyze stochastic programs, this is the first text to address basic questions about how to model uncertainty, and how to reformulate a deterministic model so that it can be analyzed in a stochastic setting.

Game Theoretic Risk Analysis of Security Threats introduces reliability and risk analysis in the face of threats by intelligent agents.

Proportional Optimization and Fairness is a long-needed attempt to reconcile optimization with apportionment in just-in-time (JIT) sequences and find the common ground in solving problems ranging from sequencing mixed-model just-in-time assembly lines through just-in-time batch production, balancing workloads in event graphs to bandwidth allocation internet gateways and resource allocation in computer operating systems.

Sobolev spaces become the established and universal language of partial differential equations and mathematical analysis.

Autonomic Computing and Networking presents introductory and advanced topics on autonomic computing and networking with emphasis on architectures, protocols, services, privacy & security, simulation and implementation testbeds.

Optimization is a field important in its own right but is also integral to numerous applied sciences, including operations research, management science, economics, finance and all branches of mathematics-oriented engineering.

This book, like its companion volume Nonlinear Optimization with Financial Applications, is an outgrowth of undergraduate and po- graduate courses given at the University of Hertfordshire and the University of Bergamo.

Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic Algorithms (GAs).

R is a language and environment for data analysis and graphics.

On February 27 and 28 of 2006, the University of Arizona held a workshop entitled, "e;Decision Modeling and Behavior in Uncertain and Complex En- ronments,"e; sponsored by the Air Force O?

In trying to make a satisfactory decision when imprecise and multicriteria situations are involved, a decision maker has to use a fuzzy multicriteria decision making method.

Over the past decade the financial and business environments have undergone significant changes.

Financial globalization has increased the significance of methods used in the evaluation of country risk, one of the major research topics in economics and finance.

Many nonlinear problems in physics, engineering, biology and social sciences can be reduced to finding critical points of functionals.

Optimization has pervaded all spheres of human endeavor.

This book contains an introduction to three topics in stochastic control: discrete time stochastic control, i.

Accurate models to describe real-world phenomena are indispensable for research in such scientific fields as physics, engineering, biology, chemistry, and economics.

Social computing concerns the study of social behavior and context based on computational systems.

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The mechanisms of protest and revolution have been the subject of theoretical research for over a century, yet the lack of data has hindered the empirical validation of conflicting theories.

Stability is a very important property of mathematical models simulating physical processes which provides an adequate description of the process.

Many algorithms have already been proposed in the past to solve the problem of allocating resources in a multi-user multicarrier wireless system.

Feasibility and Infeasibility in Optimization is an expository book focused on practical algorithms related to feasibility and infeasibility in optimization.

The goal of the Encyclopedia of Optimization is to introduce the reader to a complete set of topics that show the spectrum of research, the richness of ideas, and the breadth of applications that has come from this field.

"e;Linear and Nonlinear Programming"e; is considered a classic textbook in Optimization.

The articles that comprise this distinguished annual volume for the Advances in Mechanics and Mathematics series have been written in honor of Gilbert Strang, a world renowned mathematician and exceptional person.

A path player game is a new innovative type of game which considers network flow problems from the viewpoint of network owners.

This book is devoted to the study of scalar and asymptotic scalar derivatives and their applications to the study of some problems considered in nonlinear analysis, in geometry, and in applied mathematics.

A recent significant innovation in mathematical sciences has been the progressive use of nonsmooth calculus, an extension of the differential calculus, as a key tool of modern analysis in many areas of mathematics, operations research, and engineering.

The present book is based on results of scienti?

Optimization has become an essential tool in addressing the limitation of resources and need for better decision-making in the medical field.

Set-valued analysis is an essential tool for the mathematical formulation of many real-life situations, e.

This book focuses on variational methods in imaging science.

Of what use is mathematics?

Performance optimization is vital in the design and operation of modern engineering systems, including communications, manufacturing, robotics, and logistics.

The aim of Metaheuristics: Progress in Complex Systems Optimization is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern computational methods in promising new areas.

Thesubjectofthisbookisthenested partitions method(NP),arelativelynew optimization method that has been found to be very e?

There has been dramatic growth in the development and application of Bayesian inference in statistics.

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