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100301s2010 xxu| s |||| 0|eng d |
| 020 |
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|a 9780387895529
|9 978-0-387-89552-9
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| 024 |
7 |
# |
|a 10.1007/978-0-387-89552-9
|2 doi
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| 050 |
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|a QA402.5-402.6
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|a PBU
|2 bicssc
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|a MAT003000
|2 bisacsh
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|a 519.6
|2 23
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| 100 |
1 |
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|a Luptc̀ik, Mikuls̀.
|e author.
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| 245 |
1 |
0 |
|a Mathematical Optimization and Economic Analysis
|c by Mikuls̀ Luptc̀ik.
|h [electronic resource] /
|
| 264 |
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1 |
|a New York, NY :
|b Springer New York,
|c 2010.
|
| 300 |
# |
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|a XIV, 294p. 53 illus.
|b online resource.
|
| 336 |
# |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
1 |
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|a Springer Optimization and Its Applications,
|v 36
|x 1931-6828 ;
|
| 505 |
0 |
# |
|a Part I Single-Objective Optimization -- 1. Scarcity and Efficiency -- 2. Kuhn<U+0013>Tucker Conditions -- 3. Convex Programming -- 4. Linear Programming -- 5. Data Envelopment Analysis -- 6. Geometric Programming -- Part II Multiobjective Optimization -- 7. Fundamentals of Multiobjective Optimization -- 8. Multiobjective Linear Programming -- 9. Multiobjective Geometric Programming.
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| 520 |
# |
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|a "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<U+0019>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.
|
| 650 |
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0 |
|a Mathematics.
|
| 650 |
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0 |
|a Mathematical optimization.
|
| 650 |
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0 |
|a Economics.
|
| 650 |
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0 |
|a Economics, Mathematical.
|
| 650 |
1 |
4 |
|a Mathematics.
|
| 650 |
2 |
4 |
|a Optimization.
|
| 650 |
2 |
4 |
|a Economic Theory.
|
| 650 |
2 |
4 |
|a Operations Research/Decision Theory.
|
| 650 |
2 |
4 |
|a Game Theory/Mathematical Methods.
|
| 710 |
2 |
# |
|a SpringerLink (Online service)
|
| 773 |
0 |
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|t Springer eBooks
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9780387895512
|
| 830 |
# |
0 |
|a Springer Optimization and Its Applications,
|v 36
|x 1931-6828 ;
|
| 856 |
4 |
0 |
|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-89552-9
|
| 912 |
# |
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|a ZDB-2-SMA
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| 950 |
# |
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|a Mathematics and Statistics (Springer-11649)
|