02174cam a22003014a 450000100090000000300090000900500170001800800410003501000170007602000290009302000260012203500240014804000350017204200080020705000190021508200200023410000180025424500670027224600350033925000120037426000510038630000340043750400510047150503160052252009810083865000290181965000240184816118365KE-MeUCS20111230235253.0100304s2010 nyua b 001 0 eng  a 2010009012 a9780521884327 (hardback) a0521884322 (hardback) a(OCoLC)ocn542321838 aDLCcDLCdYDXdYDXCPdCDXdDLC apcc00aTA335.M65 201000a620.001/5182221 aMoin, Parviz.10aFundamentals of engineering numerical analysis /cParviz Moin.30aEngineering numerical analysis a2nd ed. aNew York :bCambridge University Press,c2010. axiv, 241 p. :bill. ;c26 cm. aIncludes bibliographical references and index.8 aMachine generated contents note: 1. Interpolation; 2. Numerical differentiation - finite differences; 3. Numerical integration; 4. Numerical solution of ordinary differential equations; 5. Numerical solution of partial differential equations; 6. Discrete transform methods; Appendix. A review of linear algebra. a"Since the original publication of this book, available computer power has increased greatly. Today, scientific computing is playing an ever more prominent role as a tool in scientific discovery and engineering analysis. In this second edition, the key addition is an introduction to the finite element method. This is a widely used technique for solving partial differential equations (PDEs) in complex domains. This text introduces numerical methods and shows how to develop, analyze, and use them. Complete MATLAB programs for all the worked examples are now available at www.cambridge.org/Moin, and more than 30 exercises have been added. This thorough and practical book is intended as a first course in numerical analysis, primarily for new graduate students in engineering and physical science. Along with mastering the fundamentals of numerical methods, students will learn to write their own computer programs using standard numerical methods"--Provided by publisher. 0aEngineering mathematics. 0aNumerical analysis.