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Set-valued optimization is a vibrant and expanding branch of mathematics that deals with optimization problems where the objective map and/or the constraints maps are set-valued maps acting between certain spaces. Since set-valued maps subsumes single valued maps, set-valued optimization provides an important extension and unification of the scalar as well as the vector optimization problems. Therefore this relatively new discipline has justifiably attracted a great deal of attention in recent years. This book presents, in a unified framework, basic properties on ordering relations, solution concepts for set-valued optimization problems, a detailed description of convex set-valued maps, most recent developments in separation theorems, scalarization techniques, variational principles, tangent cones of first and higher order, sub-differential of set-valued maps, generalized derivatives of set-valued maps, sensitivity analysis, optimality conditions, duality, and applications in economics among other things.

Optimization. --- Operation Research/Decision Theory. --- Continuous Optimization. --- Operations Research, Management Science. --- Vector spaces. --- Linear spaces --- Linear vector spaces --- Mathematics. --- Operations research. --- Decision making. --- Game theory. --- Mathematical optimization. --- Management science. --- Game Theory, Economics, Social and Behav. Sciences. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Algebras, Linear --- Functional analysis --- Vector analysis --- Operations Research/Decision Theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Math --- Science --- Games, Theory of --- Theory of games --- Mathematical models --- Mathematics --- Quantitative business analysis --- Management --- Problem solving --- Statistical decision --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Decision making

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In diesem Buch wird die Vielgestaltigkeit von Optimierung und Approximation zusammen mit ihrem breiten Umfeld anhand von Aufgaben samt ihren Lösungen und nützlichen Anwendungen zum Ausdruck gebracht. Fachlich steht dabei im Vordergrund, Methoden der Angewandten Analysis zu nutzen, um die Struktur und Eigenschaften der Probleme zu erkennen und handhabbare Optimalitätsbedingungen herzuleiten, die die Behandlung der Aufgaben ermöglichen und vereinfachen. Viele praktische Aufgabenstellungen führen auf konvexe bzw. nichtkonvexe Optimierungsprobleme, Mehrkriterielle Optimierungsprobleme, Standortprobleme, Probleme der Risikotheorie, Versicherungsmathematik, Optimierungsprobleme mit Unsicherheiten und Modelle aus der Signaltheorie, die in den behandelten Aufgaben diskutiert werden. Hinweise auf online verfügbare Software werden gegeben. Das Buch richtet sich an Studierende und Lehrende der Mathematik, Wirtschaftsmathematik, Informatik, Physik, den Wirtschafts- und Ingenieurwissenschaften (u.a. der Mechatronik). Der Inhalt Approximationstheorie - Nichtlineare Optimierung - Risiko, Robustheit - Finanzmathematik - Standort-und Approximationsprobleme - Versicherungsmathematik - Einführung in die Fourier-Transformation, ein Blick auf die Signaltheorie - Normierte Räume in der Optimierung Die Autoren Prof. Dr. Alfred Göpfert, Institut für Mathematik, Martin-Luther-Universität Halle-Wittenberg Prof. Dr. Thomas Riedrich, Institut für Analysis, Technische Universität Dresden Prof. Dr. Christiane Tammer, Institut für Mathematik, Martin-Luther-Universität Halle-Wittenberg.

Game theory. --- Economic theory. --- Game Theory, Economics, Social and Behav. Sciences. --- Economic Theory/Quantitative Economics/Mathematical Methods.

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In mathematical modeling of processes one often encounters optimization problems involving more than one objective function, so that Multiobjective Optimization (or Vector Optimization) has received new impetus. The growing interest in multiobjective problems, both from the theoretical point of view and as it concerns applications to real problems, asks for a general scheme which embraces several existing developments and stimulates new ones. In this book the authors provide the newest results and applications of this quickly growing field. This book will be of interest to graduate students in mathematics, economics, and engineering, as well as researchers in pure and applied mathematics, economics, engineering, geography, and town planning. A sound knowledge of linear algebra and introductory real analysis should provide readers with sufficient background for this book.

Mathematics. --- Operations research. --- Management science. --- Operations Research, Management Science. --- Vector spaces. --- Partially ordered spaces. --- Mathematical optimization. --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory

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Operational research. Game theory --- Mathematical statistics --- Planning (firm) --- Business management --- management --- mathematische modellen --- econometrie --- operationeel onderzoek