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Record ID harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:954049619:2820
Source harvard_bibliographic_metadata
Download Link /show-records/harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:954049619:2820?format=raw

LEADER: 02820nam a22004695a 4500
001 013839749-X
005 20131206201226.0
008 130321s2003 xxu| s ||0| 0|eng d
020 $a9781441991607
020 $a9781441991607
020 $a9781461348153
024 7 $a10.1007/978-1-4419-9160-7$2doi
035 $a(Springer)9781441991607
040 $aSpringer
050 4 $aTA342-343
072 7 $aPBWH$2bicssc
072 7 $aTBJ$2bicssc
072 7 $aMAT003000$2bisacsh
072 7 $aTEC009060$2bisacsh
082 04 $a003.3$223
100 1 $aHritonenko, Natali,$eauthor.
245 10 $aApplied Mathematical Modelling of Engineering Problems /$cby Natali Hritonenko, Yuri Yatsenko.
264 1 $aBoston, MA :$bSpringer US :$bImprint: Springer,$c2003.
300 $aXXI, 286 p.$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 ;$v81
520 $aThe subject of the book is the "know-how" of applied mathematical modelling: how to construct specific models and adjust them to a new engineering environment or more precise realistic assumptions; how to analyze models for the purpose of investigating real life phenomena; and how the models can extend our knowledge about a specific engineering process. Two major sources of the book are the stock of classic models and the authors' wide experience in the field. The book provides a theoretical background to guide the development of practical models and their investigation. It considers general modelling techniques, explains basic underlying physical laws and shows how to transform them into a set of mathematical equations. The emphasis is placed on common features of the modelling process in various applications as well as on complications and generalizations of models. The book covers a variety of applications: mechanical, acoustical, physical and electrical, water transportation and contamination processes; bioengineering and population control; production systems and technical equipment renovation. Mathematical tools include partial and ordinary differential equations, difference and integral equations, the calculus of variations, optimal control, bifurcation methods, and related subjects.
650 10 $aMathematics.
650 0 $aSystem theory.
650 0 $aMathematics.
650 0 $aMathematical optimization.
650 24 $aMathematical Modeling and Industrial Mathematics.
650 24 $aCalculus of Variations and Optimal Control; Optimization.
650 24 $aSystems Theory, Control.
700 1 $aYatsenko, Yuri,$eauthor.
776 08 $iPrinted edition:$z9781461348153
830 0 $aApplied Optimization ;$v81.
988 $a20131119
906 $0VEN