LEADER 03363nam0 2200493 i 450 001 VAN00113455 005 20260702082348.380 017 70$2N$a9783319167398 035 40$a1591429455 100 $a20180110d2015 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 181 $ai$b e 182 $ab 183 $acr 200 1 $aNumerical analysis using sage$fGeorge A. Anastassiou, Razvan A. Mezei 210 $a[Cham]$cSpringer$d2015 215 $aXII, 314 p.$cill.$d24 cm 327 $aThis is the first numerical analysis text to use Sage for the implementation of algorithms and can be used in a one-semester course for undergraduates in mathematics, math education, computer science/information technology, engineering, and physical sciences. The primary aim of this text is to simplify understanding of the theories and ideas from a numerical analysis/numerical methods course via a modern programming language like Sage. Aside from the presentation of fundamental theoretical notions of numerical analysis throughout the text, each chapter concludes with several exercises that are oriented to real-world application. Answers may be verified using Sage. The presented code, written in core components of Sage, are backward compatible, i.e., easily applicable to other software systems such as Mathematica®. Sage is open source software and uses Python-like syntax. Previous Python programming experience is not a requirement for the reader, though familiarity withany programming language is a plus. Moreover, the code can be written using any web browser and is therefore useful with Laptops, Tablets, iPhones, Smartphones, etc. All Sage code that is presented in the text is openly available on SpringerLink.com. 410 1$1001VAN00100987$12001 $aSpringer undergraduate texts in mathematics and technology$1210 $aBerlin [etc.]$cSpringer$d2008- 500 1$3VAN00235171$aNumerical analysis using sage$91522611 606 $a47N40$xApplications of operator theory in numerical analysis [MSC 2020]$3VANC033631$2MF 606 $a97N40$xNumerical analysis (educational aspects) [MSC 2020]$3VANC033632$2MF 606 $a97N80$xMathematical software, computer programs (educational aspects) [MSC 2020]$3VANC033633$2MF 606 $a97U20$xTextbooks, textbook research (aspects of mathematics education) [MSC 2020]$3VANC024271$2MF 610 $aAdoption$9KW:K 610 $aAlgorithms Sage$9KW:K 610 $aNumerical analysis Sage$9KW:K 610 $aPython algorithms$9KW:K 610 $aPython syntax$9KW:K 610 $aSageMath$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aAnastassiou$bGeorge A.$3VANV087568$060024 701 1$aMezei$bRazvan A.$3VANV087569$0755583 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20260911$gRICA 856 4 $uhttp://dx.doi.org/10.1007/978-3-319-16739-8$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN00113455 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-book 0354 $e08eMF354 20180110 996 $aNumerical analysis using sage$91522611 997 $aUNICAMPANIA