LEADER 04251nam 22007935 450 001 9910300259503321 005 20200705030243.0 010 $a3-319-25327-1 024 7 $a10.1007/978-3-319-25327-5 035 $a(CKB)3710000000521716 035 $a(SSID)ssj0001585257 035 $a(PQKBManifestationID)16264951 035 $a(PQKBTitleCode)TC0001585257 035 $a(PQKBWorkID)14865855 035 $a(PQKB)10548625 035 $a(DE-He213)978-3-319-25327-5 035 $a(MiAaPQ)EBC6315435 035 $a(MiAaPQ)EBC5591311 035 $a(Au-PeEL)EBL5591311 035 $a(OCoLC)932169744 035 $z(PPN)258853832 035 $a(PPN)190533315 035 $a(EXLCZ)993710000000521716 100 $a20151121d2015 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aLearning MATLAB $eA Problem Solving Approach /$fby Walter Gander 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (XIV, 149 p. 49 illus., 7 illus. in color.) 225 1 $aLa Matematica per il 3+2,$x2038-5722 ;$v95 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-25326-3 320 $aIncludes bibliographical references. 327 $aChapter 1. Starting and Using Matlab -- Chapter 2. How a Computer Calculates -- Chapter 3. Plotting Functions and Curves -- Chapter 4. Some Elementary Functions -- Chapter 5. Computing with Multiple Precision -- Chapter 6. Solving Linear Equations -- Chapter 7. Recursion -- Chapter 8. Iteration and Nonlinear Equations -- Chapter 9. Simulation -- Chapter 10. Solutions of Problems -- Bibliography. 330 $aThis comprehensive and stimulating introduction to Matlab, a computer language now widely used for technical computing, is based on an introductory course held at Qian Weichang College, Shanghai University, in the fall of 2014.  Teaching and learning a substantial programming language aren?t always straightforward tasks. Accordingly, this textbook is not meant to cover the whole range of this high-performance technical programming environment, but to motivate first- and second-year undergraduate students in mathematics and computer science to learn Matlab by studying representative problems, developing algorithms and programming them in Matlab. While several topics are taken from the field of scientific computing, the main emphasis is on programming. A wealth of examples are completely discussed and solved, allowing students to learn Matlab by doing: by solving problems, comparing approaches and assessing the proposed solutions. 410 0$aLa Matematica per il 3+2,$x2038-5722 ;$v95 606 $aAlgorithms 606 $aComputer science$xMathematics 606 $aComputer software 606 $aSoftware engineering 606 $aApplication software 606 $aAlgorithms$3https://scigraph.springernature.com/ontologies/product-market-codes/M14018 606 $aComputational Science and Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/M14026 606 $aMathematical Software$3https://scigraph.springernature.com/ontologies/product-market-codes/M14042 606 $aSoftware Engineering/Programming and Operating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14002 606 $aComputer Applications$3https://scigraph.springernature.com/ontologies/product-market-codes/I23001 615 0$aAlgorithms. 615 0$aComputer science$xMathematics. 615 0$aComputer software. 615 0$aSoftware engineering. 615 0$aApplication software. 615 14$aAlgorithms. 615 24$aComputational Science and Engineering. 615 24$aMathematical Software. 615 24$aSoftware Engineering/Programming and Operating Systems. 615 24$aComputer Applications. 676 $a510 700 $aGander$b Walter$4aut$4http://id.loc.gov/vocabulary/relators/aut$042532 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300259503321 996 $aLearning MATLAB$91522825 997 $aUNINA