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005 20160812080027.0
007 cr nn 008mamaa
008 100301s2010 xxu| s |||| 0|eng d
020 _a9780387895529
_9978-0-387-89552-9
040 _cMX-MeUAM
050 4 _aQA402.5-402.6
082 0 4 _a519.6
_223
100 1 _aLuptácik, Mikulás.
_eauthor.
245 1 0 _aMathematical Optimization and Economic Analysis
_h[recurso electrónico] /
_cby Mikulás Luptácik.
264 1 _aNew York, NY :
_bSpringer New York,
_c2010.
300 _aXIV, 294p. 53 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Optimization and Its Applications,
_x1931-6828 ;
_v36
505 0 _aSingle-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.
520 _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’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 0 _aMathematics.
650 0 _aMathematical optimization.
650 0 _aEconomics.
650 0 _aEconomics, Mathematical.
650 1 4 _aMathematics.
650 2 4 _aOptimization.
650 2 4 _aEconomic Theory.
650 2 4 _aOperations Research/Decision Theory.
650 2 4 _aGame Theory/Mathematical Methods.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387895512
830 0 _aSpringer Optimization and Its Applications,
_x1931-6828 ;
_v36
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-0-387-89552-9
596 _a19
942 _cLIBRO_ELEC
999 _c198214
_d198214