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Mathematical Optimization and Economic Analysis - (Springer Optimization and Its Applications) by Mikulás Luptácik (Hardcover)

Mathematical Optimization and Economic Analysis - (Springer Optimization and Its Applications) by  Mikulás Luptácik (Hardcover) - 1 of 1
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About this item

Highlights

  • "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.
  • Author(s): Mikulás Luptácik
  • 294 Pages
  • Mathematics, Linear & Nonlinear Programming
  • Series Name: Springer Optimization and Its Applications

Description



About the Book



This monograph is a self-contained introduction to the optimization techniques used in economic modeling such as mathematical programming and data envelopment analysis. This book demonstrates the usefulness of these mathematical tools in quantitative and qualitative economic analysis.



Book Synopsis



"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.



From the Back Cover



"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.



Review Quotes




"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 application of these techniques to industrial economics, regulatory economics, trade-policy, economic sustainability, production planning, and environmental policy."

--Industrie Aktuell, June 2011


Dimensions (Overall): 9.21 Inches (H) x 6.14 Inches (W) x .75 Inches (D)
Weight: 1.34 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 294
Genre: Mathematics
Sub-Genre: Linear & Nonlinear Programming
Series Title: Springer Optimization and Its Applications
Publisher: Springer
Format: Hardcover
Author: Mikulás Luptácik
Language: English
Street Date: October 8, 2009
TCIN: 1006476912
UPC: 9780387895512
Item Number (DPCI): 247-37-9860
Origin: Made in the USA or Imported
If the item details aren’t accurate or complete, we want to know about it.

Shipping details

Estimated ship dimensions: 0.75 inches length x 6.14 inches width x 9.21 inches height
Estimated ship weight: 1.34 pounds
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