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Record ID harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:957292784:2894
Source harvard_bibliographic_metadata
Download Link /show-records/harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:957292784:2894?format=raw

LEADER: 02894nam a22005415a 4500
001 013841342-8
005 20131206202251.0
008 130202s2003 xxu| s ||0| 0|eng d
020 $a9781475737455
020 $a9781475737455
020 $a9781475737479
024 7 $a10.1007/978-1-4757-3745-5$2doi
035 $a(Springer)9781475737455
040 $aSpringer
050 4 $aQA315-316
050 4 $aQA402.3
050 4 $aQA402.5-QA402.6
072 7 $aPBKQ$2bicssc
072 7 $aPBU$2bicssc
072 7 $aMAT005000$2bisacsh
072 7 $aMAT029020$2bisacsh
082 04 $a515.64$223
100 1 $aDiwekar, Urmila M.,$eauthor.
245 10 $aIntroduction to Applied Optimization /$cby Urmila M. Diwekar.
264 1 $aBoston, MA :$bSpringer US :$bImprint: Springer,$c2003.
300 $aXV, 335 p.$bonline resource.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file$bPDF$2rda
490 1 $aApplied Optimization,$x1384-6485 ;$v80
520 $aThis text presents a multi-disciplined view of optimization, providing students and researchers with a thorough examination of algorithms, methods, and tools from diverse areas of optimization without introducing excessive theoretical detail. This second edition includes additional topics, including global optimization and a real-world case study using important concepts from each chapter. Key Features: Provides well-written self-contained chapters, including problem sets and exercises, making it ideal for the classroom setting; Introduces applied optimization to the hazardous waste blending problem; Explores linear programming, nonlinear programming, discrete optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control and stochastic optimal control; Includes an extensive bibliography at the end of each chapter and an index; GAMS files of case studies for Chapters 2, 3, 4, 5, and 7 are linked to http://www.springer.com/math/book/978-0-387-76634-8; Solutions manual available upon adoptions. Introduction to Applied Optimization is intended for advanced undergraduate and graduate students and will benefit scientists from diverse areas, including engineers.
650 10 $aMathematics.
650 0 $aSystem theory.
650 0 $aMathematics.
650 0 $aChemical engineering.
650 0 $aMathematical optimization.
650 0 $aEngineering.
650 0 $aEconomics.
650 24 $aCalculus of Variations and Optimal Control; Optimization.
650 24 $aEngineering, general.
650 24 $aIndustrial Chemistry/Chemical Engineering.
650 24 $aSystems Theory, Control.
650 24 $aBusiness/Management Science, general.
776 08 $iPrinted edition:$z9781475737479
830 0 $aApplied Optimization ;$v80.
988 $a20131119
906 $0VEN