LEADER 02752nam  2200433Ia 450 
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005 20200520144314.0
010   $a9780511812194 (e-book)
010   $a9780521859714 (hbk.)
035   $a(UkCbUP)CR9780511812194
035   $a(MiAaPQ)EBC279339
035   $a(PPN)261325736
035   $a(CKB)1000000000352217
035   $a(EXLCZ)991000000000352217
100   $a20060505d2007      uy         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aNumerical methods for chemical engineering $eapplications in Matlab /$fKenneth J. Beers
210   $aCambridge, UK ;$aNew York $cCambridge University Press$d2007
215   $a1 online resource (xi, 474 pages) $cdigital, PDF file(s)
300   $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
320   $aIncludes bibliographical references (p. 461-463) and index.
327   $aLinear algebra -- Nonlinear algebraic systems -- Matrix eigenvalue analysis -- Initial value problems -- Numerical optimization -- Boundary value problems -- Probability theory and stochastic simulation -- Bayesian statistics and parameter estimation -- Fourier analysis.
330   $aSuitable for a first year graduate course, this textbook unites the applications of numerical mathematics and scientific computing to the practice of chemical engineering. Written in a pedagogic style, the book describes basic linear and nonlinear algebric systems all the way through to stochastic methods, Bayesian statistics and parameter estimation. These subjects are developed at a level of mathematics suitable for graduate engineering study without the exhaustive level of the theoretical mathematical detail. The implementation of numerical methods in MATLAB is integrated within each chapter and numerous examples in chemical engineering are provided, with a library of corresponding MATLAB programs. This book will provide the graduate student with essential tools required by industry and research alike. Supplementary material includes solutions to homework problems set in the text, MATLAB programs and tutorial, lecture slides, and complicated derivations for the more advanced reader. These are available online at www.cambridge.org/9780521859714. 
606   $aChemical engineering$xMathematics
606   $aChemistry, Technical
615  0$aChemical engineering$xMathematics.
615  0$aChemistry, Technical.
676   $a660.0151
700   $aBeers$b Kenneth J$0508383
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
912   $a9911006650303321
996   $aNumerical Methods for Chemical Engineering$9777488
997   $aUNINA