Record ID | harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:685248347:1984 |
Source | harvard_bibliographic_metadata |
Download Link | /show-records/harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:685248347:1984?format=raw |
LEADER: 01984cam a2200313 a 4500
001 013638207-X
005 20130403094244.0
008 121114s2013 maua b 001 0 eng
010 $a 2012037454
020 $a9780123869128
020 $a0123869129
035 0 $aocn818327225
040 $aDLC$beng$cDLC$dYDX$dOCLCO$dYDXCP$dCDX$dMUU
042 $apcc
050 00 $aQA401$b.M48 2013
082 00 $a511/.8$223
100 1 $aMeerschaert, Mark M.,$d1955-
245 10 $aMathematical modeling /$cMark M. Meerschaert.
250 $a4th ed.
260 $aWaltham, MA :$bAcademic Press/Elsevier,$c2013.
300 $axii, 365 p. :$bill. ;$c24 cm.
504 $aIncludes bibliographical references and index.
520 $a"Meerschaert's new edition strengthens his position as the survey text of choice for mathematical modeling courses, adding ample instructor support and leveraging on-line delivery for solutions manuals and software ancillaries. From genetic engineering to hurricane prediction, mathematical models guide much of the decision-making in our society, and if the assumptions and methods underlying the modeling are flawed, the outcome can be disastrously poor, as recent events have proved. Since mathematical modeling is a rapidly growing specialty with applications in so many scientific and technical disciplines, there is a need for mathematically rigorous treatments of the subject, and particularly for texts that expose students to a range of possible approaches."--Publisher's website.
505 0 $aOptimization models. One-Variable Optimization ; Multivariable Optimization ; Computational Methods for Optimization. -- Dynamic models. Introduction to Dynamic Models ; Analysis of Dynamic Models ; Simulation of Dynamic Models. -- Probability models. Introduction to Probability Models ; Stochastic Models ; Simulation of Probability Models.
650 0 $aMathematical models.
899 $a415_565982
988 $a20130319
049 $aHLSS
906 $0DLC