LEADER 03840nam  22006251a 450 
001 9911006839503321
005 20241120175231.0
010   $a1-68015-785-X
010   $a0-89871-998-4
024 7 $a10.1137/9780898719987
035   $a(CKB)3810000000000418
035   $a(SSID)ssj0001261310
035   $a(PQKBManifestationID)12476487
035   $a(PQKBTitleCode)TC0001261310
035   $a(PQKBWorkID)11319963
035   $a(PQKB)10678957
035   $a(OCoLC)875013514
035   $a(CaBNVSL)gtp00547930
035   $a(PPN)194096173
035   $a(SIAM)9780898719987
035   $a(EXLCZ)993810000000000418
071 50$aCS07$bSIAM
100   $a20110408d2011      uy         0
101 0 $aeng
135   $aurbn||||m|||a
181   $ctxt
182   $cc
183   $acr
200 12$aA first course in numerical methods /$fUri M. Ascher, Chen Greif
210   $aPhiladelphia, Pa. $cSociety for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104)$d2011
215   $a1 online resource (xxii, 552 p. : |b ill. (some col.))
225 1 $aComputational science and engineering series
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a0-89871-997-6 
320   $aIncludes bibliographical references and index.
327   $aList of figures -- List of tables -- Preface -- Chapter 1. Numerical algorithms -- Chapter 2. Roundoff errors -- Chapter 3. Nonlinear equations in one variable -- Chapter 4. Linear algebra background -- Chapter 5. Linear systems: direct methods -- Chapter 6. Linear least squares problems -- Chapter 7. Linear systems: iterative methods -- Chapter 8. Eigenvalues and singular values -- Chapter 9. Nonlinear systems and optimization -- Chapter 10. Polynomial interpolation -- Chapter 11. Piecewise polynomial interpolation -- Chapter 12. Best approximation -- Chapter 13. Fourier Transform -- Chapter 14. Numerical differentiation -- Chapter 15. Numerical integration -- Chapter 16. Differential equations -- Bibliography -- Index.
330   $aThis book is designed for students and researchers who seek practical knowledge of modern techniques in scientific computing. Avoiding encyclopedic and heavily theoretical exposition, the book provides an in-depth treatment of fundamental issues and methods, the reasons behind the success and failure of numerical software, and fresh and easy-to-follow approaches and techniques. The authors focus on current methods, issues, and software while providing a comprehensive theoretical foundation, enabling those who need to apply the techniques to successfully design solutions to nonstandard problems. The book also illustrates algorithms using the programming environment of MATLAB®, with the expectation that the reader will gradually become proficient in it while learning the material covered in the book. A variety of exercises are provided within each chapter along with review questions aimed at self-testing. The book takes an algorithmic approach, focusing on techniques that have a high level of applicability to engineering, computer science, and industrial mathematics.
410  0$aComputational science and engineering series.
606   $aNumerical calculations$xData processing
606   $aNumerical analysis
606   $aAlgorithms
615  0$aNumerical calculations$xData processing.
615  0$aNumerical analysis.
615  0$aAlgorithms.
676   $a518/.4
700   $aAscher$b U. M$g(Uri M.),$f1946-$021815
701   $aGreif$b Chen$f1965-$01822863
712 02$aSociety for Industrial and Applied Mathematics.
801  0$bCaBNVSL
801  1$bCaBNVSL
801  2$bCaBNVSL
906   $aBOOK
912   $a9911006839503321
996   $aA first course in numerical methods$94389283
997   $aUNINA