LEADER 04414 am 22007093u 450 001 9910372750403321 005 20230125193456.0 010 $a3-030-16877-8 024 7 $a10.1007/978-3-030-16877-3 035 $a(CKB)4100000009678379 035 $a(OAPEN)1007055 035 $a(MiAaPQ)EBC6113652 035 $a(DE-He213)978-3-030-16877-3 035 $a(Au-PeEL)EBL6113652 035 $a(OCoLC)1143626365 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/33219 035 $a(PPN)259391239 035 $a(EXLCZ)994100000009678379 100 $a20191030d2020 u| 0 101 0 $aeng 135 $auuuuu---auuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProgramming for Computations - Python$b[electronic resource] $eA Gentle Introduction to Numerical Simulations with Python 3.6 /$fby Svein Linge, Hans Petter Langtangen 205 $a2nd ed. 2020. 210 $aCham$cSpringer Nature$d2020 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (332) 225 1 $aTexts in Computational Science and Engineering,$x1611-0994 ;$v15 311 $a3-030-16876-X 327 $aPreface -- 1 The first few steps -- 2 A few steps more -- 3 Loops and branching -- 4 Functions and the writing of code -- 5 Some more Python essentials -- 6 Computing integrals and testing code -- 7 Solving nonlinear algebraic equations -- 8 Solving ordinary differential equations -- 9 Solving partial differential equations -- A Installation and use of Python -- References -- Index. 330 $aThis book is published open access under a CC BY 4.0 license. This book presents computer programming as a key method for solving mathematical problems. This second edition of the well-received book has been extensively revised: All code is now written in Python version 3.6 (no longer version 2.7). In addition, the two first chapters of the previous edition have been extended and split up into five new chapters, thus expanding the introduction to programming from 50 to 150 pages. Throughout the book, the explanations provided are now more detailed, previous examples have been modified, and new sections, examples and exercises have been added. Also, a number of small errors have been corrected. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style employed is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows students to write simple programs for solving common mathematical problems with numerical methods in the context of engineering and science courses. The emphasis is on generic algorithms, clean program design, the use of functions, and automatic tests for verification. 410 0$aTexts in Computational Science and Engineering,$x1611-0994 ;$v15 606 $aComputer mathematics 606 $aNumerical analysis 606 $aComputer software 606 $aComputational Science and Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/M14026 606 $aNumeric Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I1701X 606 $aMathematical Software$3https://scigraph.springernature.com/ontologies/product-market-codes/M14042 606 $aNumerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M14050 610 $aMathematics 610 $aComputer mathematics 610 $aNumerical analysis 610 $aComputer software 615 0$aComputer mathematics. 615 0$aNumerical analysis. 615 0$aComputer software. 615 14$aComputational Science and Engineering. 615 24$aNumeric Computing. 615 24$aMathematical Software. 615 24$aNumerical Analysis. 676 $a004 700 $aLinge$b Svein$4aut$4http://id.loc.gov/vocabulary/relators/aut$0756047 702 $aLangtangen$b Hans Petter$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910372750403321 996 $aProgramming for Computations - Python$92029164 997 $aUNINA