Optimization

This self-contained work is an introductory presentation of basic ideas, structures, and results of differential and integral calculus for functions of several variables.

A new edition in a single volume Over the past decade, more and more sophisticaced mathematical tools and approaches have been incorporated in the ?

Mathematical Control Theory: An Introduction presents, in a mathematically precise manner, a unified introduction to deterministic control theory.

The primary focus of this book is on explicating the direct method approach.

The theory of dynamic games continues to evolve, and one purpose of this volume is to report a number of recent theoretical advances in the ?

This is a revised and extended version of my 1995 elementary introduction to partial di?

This little book is a revised and expanded version of one I wrote for the "e;VIII Latin American School of Mathematics"e; [29], in Portuguese, based on which I have periodically taught a topics course over the last 18 years.

The paradigms of dynamic games play an important role in the development of multi-agent models in engineering, economics, and management science.

Questions of maxima and minima have great practical significance, with applications to physics, engineering, and economics; they have also given rise to theoretical advances, notably in calculus and optimization.

Homogenization is a method for modeling processes in microinhomogeneous media, which are encountered in radiophysics, filtration theory, rheology, elasticity theory, and other domains of mechanics, physics, and technology.

The book aims at presenting a detailed and mathematically rigorous exposition of the theory and applications of a class of point processes and piecewise deterministic p- cesses.

Semiconcavity is a natural generalization of concavity that retains most of the good properties known in convex analysis, but arises in a wider range of applications.

The fascinating ?

This unique book offers a unified approach to the modeling of rational decision-making under conditions of uncertainty and strategic and competitive interactions among agents.

This book offers a careful selection of studies in optimization techniques based on artificial intelligence, applied to inverse problems in radiative transfer.

This book has two main objectives: *  to provide a concise introduction to nonlinear optimization methods, which can be used as a textbook at a graduate or upper undergraduate level; *  to collect and organize selected important topics on optimization algorithms, not easily found in textbooks, which can provide material for advanced courses or can serve as a reference text for self-study and research.

The point of departure in the present book is that the decision makers, involved in the evaluation of alternatives under conflicting criteria, express their preferential judgement by estimating ratios of subjective values or differences of the corresponding logarithms, the so-called grades.

Great progresses have been made in the application of fuzzy set theory and fuzzy logic.

A Beautiful Mind is Sylvia Nasar's award-winning biography about the mystery of the human mind, the triumph over incredible adversity, and the healing power of love.

From the winner of the Nobel Prize in Economics, a "e;fluent and accessible"e; guide to understanding matching markets (Economist.

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.