Mathematical Optimization and Economic Analysis [recurso electrónico] / by Mikulás Luptácik.

Por: Luptácik, Mikulás [author.]Colaborador(es): SpringerLink (Online service)Tipo de material: TextoTextoSeries Springer Optimization and Its Applications ; 36Editor: New York, NY : Springer New York, 2010Descripción: XIV, 294p. 53 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9780387895529Tema(s): Mathematics | Mathematical optimization | Economics | Economics, Mathematical | Mathematics | Optimization | Economic Theory | Operations Research/Decision Theory | Game Theory/Mathematical MethodsFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 519.6 Clasificación LoC:QA402.5-402.6Recursos en línea: Libro electrónicoTexto
Contenidos:
Single-Objective Optimization -- Scarcity and Efficiency -- Kuhn–Tucker Conditions -- Convex Programming -- Linear Programming -- Data Envelopment Analysis -- Geometric Programming -- Multiobjective Optimization -- Fundamentals of Multiobjective Optimization -- Multiobjective Linear Programming -- Multiobjective Geometric Programming.
En: Springer eBooksResumen: "Mathematical Optimization and Economic Analysis" is a self-contained introduction to various optimization techniques used in economic modeling and analysis such as geometric, linear, and convex programming and data envelopment analysis. Through a systematic approach, this book demonstrates the usefulness of these mathematical tools in quantitative and qualitative economic analysis. The book presents specific examples to demonstrate each technique’s advantages and applicability as well as numerous applications of these techniques to industrial economics, regulatory economics, trade policy, economic sustainability, production planning, and environmental policy. Key Features include: - A detailed presentation of both single-objective and multiobjective optimization; - An in-depth exposition of various applied optimization problems; - Implementation of optimization tools to improve the accuracy of various economic models; - Extensive resources suggested for further reading. This book is intended for graduate and postgraduate students studying quantitative economics, as well as economics researchers and applied mathematicians. Requirements include a basic knowledge of calculus and linear algebra, and a familiarity with economic modeling.
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Tipo de ítem Biblioteca actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras
Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos QA402.5 -402.6 (Browse shelf(Abre debajo)) 1 No para préstamo 370334-2001

Single-Objective Optimization -- Scarcity and Efficiency -- Kuhn–Tucker Conditions -- Convex Programming -- Linear Programming -- Data Envelopment Analysis -- Geometric Programming -- Multiobjective Optimization -- Fundamentals of Multiobjective Optimization -- Multiobjective Linear Programming -- Multiobjective Geometric Programming.

"Mathematical Optimization and Economic Analysis" is a self-contained introduction to various optimization techniques used in economic modeling and analysis such as geometric, linear, and convex programming and data envelopment analysis. Through a systematic approach, this book demonstrates the usefulness of these mathematical tools in quantitative and qualitative economic analysis. The book presents specific examples to demonstrate each technique’s advantages and applicability as well as numerous applications of these techniques to industrial economics, regulatory economics, trade policy, economic sustainability, production planning, and environmental policy. Key Features include: - A detailed presentation of both single-objective and multiobjective optimization; - An in-depth exposition of various applied optimization problems; - Implementation of optimization tools to improve the accuracy of various economic models; - Extensive resources suggested for further reading. This book is intended for graduate and postgraduate students studying quantitative economics, as well as economics researchers and applied mathematicians. Requirements include a basic knowledge of calculus and linear algebra, and a familiarity with economic modeling.

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