MARC record from Internet Archive

LEADER: 02294cam a2200289 a 4500
001 2009028749
003 DLC
005 20091202083540.0
008 090715s2010 enka 001 0 eng
010 $a 2009028749
020 $a9780521191333 (hardback)
020 $a0521191335 (hardback)
035 $a(OCoLC)ocn351329794
040 $aDLC$cDLC$dBTCTA$dYDXCP$dC#P$dDLC
050 00 $aTA345$b.K58 2010
082 00 $a620.001/518$222
100 1 $aKiusalaas, Jaan.
245 10 $aNumerical methods in engineering with MATLAB /$cJaan Kiusalaas.
250 $a2nd ed.
260 $aCambridge ;$aNew York :$bCambridge University Press,$c2010.
300 $ax, 431 p. :$bill. ;$c26 cm.
500 $aIncludes index.
505 0 $aIntroduction to MATLAB -- Systems of linear algebraic equations -- Interpolation and curve fitting -- Roots of equations -- Numerical differentiation -- Numerical integration -- Initial value problems -- Two-point boundary value problems -- Symmetric matrix eigenvalue problems -- Introduction to optimization.
520 $a"Numerical Methods in Engineering with MATLAB is a text for engineering students and a reference for practicing engineers. The choice of numerical methods was based on their relevance to engineering problems. Every method is discussed thoroughly and illustrated with problems involving both hand computation and programming. MATLAB M-files accompany each method and are available on the book website. This code is made simple and easy to understand by avoiding complex book-keeping schemes, while maintaining the essential features of the method. MATLAB was chosen as the example language because of its ubiquitous use in engineering studies and practice. This new edition includes the new MATLAB anonymous functions, which allow the programmer to embed functions into the program rather than storing them as separate files. Other changes include the addition of rational function interpolation in Chapter 3, the addition of Ridder's method in place of Brent's method in Chapter 4, and the addition of downhill simplex method in place of the Fletcher-Reeves method of optimization in Chapter 10"--Provided by publisher.
630 00 $aMATLAB.
650 0 $aEngineering mathematics$xData processing.
650 0 $aNumerical analysis$xData processing.