Numerical Linear Algebra A Concise Introduction with MATLAB and Julia /

This book offers an introduction to the algorithmic-numerical thinking using basic problems of linear algebra. By focusing on linear algebra, it ensures a stronger thematic coherence than is otherwise found in introductory lectures on numerics. The book highlights the usefulness of matrix partitioni...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Bornemann, Folkmar (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Springer Undergraduate Mathematics Series,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 02661nam a2200469 4500
001 978-3-319-74222-9
003 DE-He213
005 20191026221946.0
007 cr nn 008mamaa
008 180129s2018 gw | s |||| 0|eng d
020 |a 9783319742229  |9 978-3-319-74222-9 
024 7 |a 10.1007/978-3-319-74222-9  |2 doi 
040 |d GrThAP 
050 4 |a QA184-205 
072 7 |a PBF  |2 bicssc 
072 7 |a MAT002050  |2 bisacsh 
072 7 |a PBF  |2 thema 
082 0 4 |a 512.5  |2 23 
100 1 |a Bornemann, Folkmar.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Numerical Linear Algebra  |h [electronic resource] :  |b A Concise Introduction with MATLAB and Julia /  |c by Folkmar Bornemann. 
250 |a 1st ed. 2018. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018. 
300 |a X, 153 p. 1 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Springer Undergraduate Mathematics Series,  |x 1615-2085 
520 |a This book offers an introduction to the algorithmic-numerical thinking using basic problems of linear algebra. By focusing on linear algebra, it ensures a stronger thematic coherence than is otherwise found in introductory lectures on numerics. The book highlights the usefulness of matrix partitioning compared to a component view, leading not only to a clearer notation and shorter algorithms, but also to significant runtime gains in modern computer architectures. The algorithms and accompanying numerical examples are given in the programming environment MATLAB, and additionally - in an appendix - in the future-oriented, freely accessible programming language Julia. This book is suitable for a two-hour lecture on numerical linear algebra from the second semester of a bachelor's degree in mathematics. 
650 0 |a Matrix theory. 
650 0 |a Algebra. 
650 0 |a Numerical analysis. 
650 1 4 |a Linear and Multilinear Algebras, Matrix Theory.  |0 http://scigraph.springernature.com/things/product-market-codes/M11094 
650 2 4 |a Numerical Analysis.  |0 http://scigraph.springernature.com/things/product-market-codes/M14050 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319742212 
776 0 8 |i Printed edition:  |z 9783319742236 
830 0 |a Springer Undergraduate Mathematics Series,  |x 1615-2085 
856 4 0 |u https://doi.org/10.1007/978-3-319-74222-9  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)