LEADER 02197nam0 22005533i 450 001 VAN00279239 005 20250401120541.676 017 70$2N$a9789819929511 100 $a20240704d2023 |0itac50 ba 101 $aeng 102 $aSG 105 $a|||| ||||| 200 1 $aLinear Algebra with Python$eTheory and Applications$fMakoto Tsukada ... [et al.] 210 $aSingapore$cSpringer$d2023 215 $axv, 309 p.$cill.$d24 cm 410 1$1001VAN00100987$12001 $aSpringer undergraduate texts in mathematics and technology$1210 $aBerlin [etc.]$cSpringer$d2008- 606 $a15-XX$xLinear and multilinear algebra; matrix theory [MSC 2020]$3VANC020607$2MF 606 $a68-XX$xComputer science [MSC 2020]$3VANC019670$2MF 610 $aDynamical systems$9KW:K 610 $aFourier expansions$9KW:K 610 $aGeneralized inverse$9KW:K 610 $aJordan normal form$9KW:K 610 $aJupyter Notebook$9KW:K 610 $aKL Expansion$9KW:K 610 $aKalman Filter$9KW:K 610 $aMarkov Chains$9KW:K 610 $aMarkov random fields$9KW:K 610 $aMatplotlib$9KW:K 610 $aMatrix Representation$9KW:K 610 $aNumPy$9KW:K 610 $aOne-Parameter Semigroups$9KW:K 610 $aOrthogonal Projection$9KW:K 610 $aPeron-Frobenius Theorem$9KW:K 610 $aPython$9KW:K 610 $aSingular value decomposition$9KW:K 610 $aSpectral Radius$9KW:K 610 $aSymPy$9KW:K 610 $aTensor products$9KW:K 620 $aSG$dSingapore$3VANL000061 702 1$aTsukada$bMakoto$3VANV231779 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20250620$gRICA 856 4 $uhttps://doi.org/10.1007/978-981-99-2951-1$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 $aVAN00279239 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-Book 9328 $e08eMF9328 20240708 996 $aLinear Algebra with Python$94209000 997 $aUNICAMPANIA