| 000 | 03267nam a22004695i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-57304-5 | ||
| 003 | DE-He213 | ||
| 005 | 20181204134420.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 170919s2017 gw | s |||| 0|eng d | ||
| 020 |
_a9783319573045 _9978-3-319-57304-5 |
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| 024 | 7 |
_a10.1007/978-3-319-57304-5 _2doi |
|
| 040 | _aISI Library, Kolkata | ||
| 050 | 4 | _aQA184-205 | |
| 072 | 7 |
_aPBF _2bicssc |
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| 072 | 7 |
_aMAT002050 _2bisacsh |
|
| 072 | 7 |
_aPBF _2thema |
|
| 082 | 0 | 4 |
_a512.5 _223 |
| 100 | 1 |
_aBeilina, Larisa. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 245 | 1 | 0 |
_aNumerical Linear Algebra: Theory and Applications _h[electronic resource] / _cby Larisa Beilina, Evgenii Karchevskii, Mikhail Karchevskii. |
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2017. |
|
| 300 |
_aXIV, 450 p. 15 illus., 14 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _aPreface -- 1. Preliminaries -- 2. Vector Spaces -- 3. Inner Product Spaces -- 4. Linear Operators -- 5. Canonical Forms and Factorizations -- 6. Vector and Matrix Norms -- 7. Elements of the Perturbation Theory -- 8. Solving Systems of Linear Equations -- 9. Numerical solution of Linear Least Squares Problems -- 10. Algorithms for the Nonsymmetric Eigenvalue Problem -- 11. Algorithms for Solution of Symmetric Eigenvalue problem -- 12. Introduction to Iterative Methods for Solution of Linear Systems -- A. Matlab Programs -- References. | |
| 520 | _aThis book combines a solid theoretical background in linear algebra with practical algorithms for numerical solution of linear algebra problems.Developed from a number of courses taught repeatedly by the authors, the material covers topics like matrix algebra, theory for linear systems of equations, spectral theory, vector and matrix norms combined with main direct and iterative numerical methods, least squares problems, and eigen problems.Numerical algorithms illustrated by computer programs written in MATLAB® are also provided as supplementary material on SpringerLink to give the reader a better understanding of professional numerical software for the solution of real-life problems.Perfect for a one- or two-semester course on numerical linear algebra, matrix computation, and large sparse matrices, this text will interest students at the advanced undergraduate or graduate level. | ||
| 650 | 0 | _aMatrix theory. | |
| 650 | 1 | 4 |
_aLinear and Multilinear Algebras, Matrix Theory. _0http://scigraph.springernature.com/things/product-market-codes/M11094 |
| 700 | 1 |
_aKarchevskii, Evgenii. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 700 | 1 |
_aKarchevskii, Mikhail. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319573021 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319573038 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319861272 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-57304-5 |
| 912 | _aZDB-2-SMA | ||
| 942 | _cEB | ||
| 950 | _aMathematics and Statistics (Springer-11649) | ||
| 999 |
_c427185 _d427185 |
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