MARC Record from marc_columbia

LEADER: 04122cam a2200649 i 4500
001 15876499
005 20220403003812.0
006 m o d
007 cr cnu|||unuuu
008 220111s2022 xx o 000 0 eng d
035 $a(OCoLC)on1291628094
035 $a(NNC)15876499
040 $aTYFRS$beng$erda$epn$cTYFRS$dTYFRS$dOCLCO$dOCLCF$dOCLCO$dOCLCQ
020 $a9781315137360$q(electronic bk.)
020 $a1315137364$q(electronic bk.)
020 $a9781351466813$q(electronic bk. ;$qEPUB)
020 $a135146681X$q(electronic bk. ;$qEPUB)
020 $a9781351466820$q(electronic bk. ;$qPDF)
020 $a1351466828$q(electronic bk. ;$qPDF)
020 $a9781351466806$q(electronic bk. ;$qMobipocket)
020 $a1351466801$q(electronic bk. ;$qMobipocket)
020 $z9780750300254
020 $z9781138404120
024 7 $a10.1201/9781315137360$2doi
035 $a(OCoLC)1291628094
037 $a9781315137360$bTaylor & Francis
050 4 $aQA402.5
072 7 $aMAT$x000000$2bisacsh
072 7 $aMAT$x003000$2bisacsh
072 7 $aPBW$2bicssc
082 04 $a519.3$223
049 $aZCUA
100 1 $aMcKeown, J. J.
245 13 $aAn introduction to unconstrained optimisation /$cJ.J. McKeown, D. Meegan, and D. Sprevak.
250 $aFirst edition.
264 1 $a[Place of publication not identified] :$bRoutledge,$c2022.
300 $a1 online resource (160 pages)
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aA Computer illustrated text
505 0 $aGetting startedSearching for an optimumLine searchesDirect search methodsSteepest descentConjugate gradientsNewton's methodQuasi-Newton methodsLeast squaresGlobal optimizationOptimisation in practiceBibliographyIndex
520 $aIntegrating computer graphics and computer-based exercises with the text, An Introduction to Unconstrained Optimisation illustrates key methods with many examples and exercises using the computer. The book takes an elementary approach to this advanced topic, allowing readers to concentrate on learning and understanding the concepts of numerical optimization without unnecessary involvement in the intricacies of the subject. In addition, the modular approach of the software provides the opportunity to explore the algorithms used and to develop them further or try alternative approaches. Most of the algorithms are based upon a "hill-climbing" concept which, in two dimensions, is illustrated dynamically on the computer screen in the form of contour plots and search directions. The text is not specific to any particular microcomputer. Software is available for the BBC series of machines (40/80 track disc formats) and PC-compatible machines. The software is not available from your local bookstore, but is easily obtainable using the order form in the book. Keeping proofs and lists of methods to a minimum, the book is at a level suitable for a first course in numerical analysis, with a basic knowledge of calculus and vector algebra assumed. This book/software package will be of interest to professionals, teachers, and undergraduate students in mathematics, operational research, science, and engineering as well as economics and management courses that deal with quantitative methods
545 0 $aJ McKeown (Queen's University of Belfast, N. Ireland) (Author), D Meegan (Queen's University of Belfast, N. Ireland) (Author), D Sprevak (Queen's University of Belfast, N. Ireland) (Author)
588 0 $aVendor-supplied metadata.
650 0 $aMathematical optimization.
650 0 $aNumerical analysis.
650 6 $aOptimisation mathématique.
650 6 $aAnalyse numérique.
650 7 $aMathematical optimization.$2fast$0(OCoLC)fst01012099
650 7 $aNumerical analysis.$2fast$0(OCoLC)fst01041273
655 4 $aElectronic books.
700 1 $aMeegan, D.
700 1 $aSprevak, D.
830 0 $aComputer illustrated text.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15876499$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS