LEADER 03116oam 2200601 450 001 9910153113503321 005 20230803220231.0 010 $a1-292-03674-5 035 $a(CKB)2550000001126619 035 $a(SSID)ssj0001257140 035 $a(PQKBManifestationID)12533611 035 $a(PQKBTitleCode)TC0001257140 035 $a(PQKBWorkID)11275340 035 $a(PQKB)10711811 035 $a(MiAaPQ)EBC5173638 035 $a(MiAaPQ)EBC5175647 035 $a(MiAaPQ)EBC5833357 035 $a(MiAaPQ)EBC5138715 035 $a(MiAaPQ)EBC6399140 035 $a(Au-PeEL)EBL5138715 035 $a(CaONFJC)MIL527282 035 $a(OCoLC)1015863394 035 $a(EXLCZ)992550000001126619 100 $a20210429d2014 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aNumerical analysis /$fTimothy Sauer 205 $aSecond edition, Pearson new international edition. 210 1$aHarlow, Essex :$cPearson,$d[2014] 210 4$d©2014 215 $a1 online resource (613 pages) $cillustrations, tables 225 1 $aAlways learning 300 $a"Pearson New International Edition." 311 $a1-292-02358-9 311 $a1-299-96031-6 320 $aIncludes bibliographical references and index. 327 $aCover -- Table of Contents -- Chapter 0. Fundamentals -- Chapter 1. Solving Equations -- Chapter 2. Systems of Equations -- Chapter 3. Interpolation -- Chapter 4. Least Squares -- Chapter 5. Numerical Differentiation and Integration -- Chapter 6. Ordinary Differential Equations -- Chapter 7. Boundary Value Problems -- Chapter 8. Partial Differential Equations -- Chapter 9. Random Numbers and Applications -- Chapter 10. Trigonometric Interpolation and the FFT -- Chapter 11. Compression -- Chapter 12. Eigenvalues and Singular Values -- Answers to Selected Exercises -- Bibliography -- Index. 330 $aNumerical Analysis, Second Edition, is a modern and readable text for the undergraduate audience. This book covers not only the standard topics but also some more advanced numerical methods being used by computational scientists and engineers-topics such as compression, forward and backward error analysis, and iterative methods of solving equations-all while maintaining a level of discussion appropriate for undergraduates. Each chapter contains a Reality Check, which is an extended exploration of relevant application areas that can launch individual or team projects. MATLAB� is used throughout to demonstrate and implement numerical methods. The Second Edition features many noteworthy improvements based on feedback from users, such as new coverage of Cholesky factorization, GMRES methods, and nonlinear PDEs. 410 0$aAlways learning. 606 $aNumerical analysis$vTextbooks 615 0$aNumerical analysis 676 $a518.0285536 700 $aSauer$b Tim$022071 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a9910153113503321 996 $aNumerical analysis$93408809 997 $aUNINA