000 | 03720nam a22005295i 4500 | ||
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001 | 978-3-030-21321-3 | ||
003 | DE-He213 | ||
005 | 20240423125323.0 | ||
007 | cr nn 008mamaa | ||
008 | 190726s2019 sz | s |||| 0|eng d | ||
020 |
_a9783030213213 _9978-3-030-21321-3 |
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024 | 7 |
_a10.1007/978-3-030-21321-3 _2doi |
|
050 | 4 | _aQA76.9.M35 | |
072 | 7 |
_aUYAM _2bicssc |
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_aCOM014000 _2bisacsh |
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_aUYAM _2thema |
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_a004.0151 _223 |
100 | 1 |
_aNeri, Ferrante. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
245 | 1 | 0 |
_aLinear Algebra for Computational Sciences and Engineering _h[electronic resource] / _cby Ferrante Neri. |
250 | _a2nd ed. 2019. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2019. |
|
300 |
_aXXV, 574 p. 169 illus., 5 illus. in color. _bonline resource. |
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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 | _a1. Basic Mathematical Thinking -- 2. Matrices -- 3. Systems of Linear Equations -- 4. Geometric Vectors -- 5. Complex Numbers and Polynomials -- 6. An Introduction to Geometric Algebra and Conics -- 7. An Overview of Algebraic Structures -- 8. Vector Spaces -- 9. An Introduction to Inner Product Spaces: Euclidean Spaces -- 10. Linear Mappings -- 11. An Introduction to Computational Complexity -- 12. Graph Theory -- 13. Applied Linear Algebra: Electrical Networks -- A. non-linear Algebra: An Introduction to Boolean Algebra -- Proofs of Theorems that Require Further Knowledge of Mathematics -- Appendix. Solutions to the Exercises. | |
520 | _aThis book presents the main concepts of linear algebra from the viewpoint of applied scientists such as computer scientists and engineers, without compromising on mathematical rigor. Based on the idea that computational scientists and engineers need, in both research and professional life, an understanding of theoretical concepts of mathematics in order to be able to propose research advances and innovative solutions, every concept is thoroughly introduced and is accompanied by its informal interpretation. Furthermore, most of the theorems included are first rigorously proved and then shown in practice by a numerical example. When appropriate, topics are presented also by means of pseudocodes, thus highlighting the computer implementation of algebraic theory. It is structured to be accessible to everybody, from students of pure mathematics who are approaching algebra for the first time to researchers and graduate students in applied sciences who needa theoretical manual of algebra to successfully perform their research. Most importantly, this book is designed to be ideal for both theoretical and practical minds and to offer to both alternative and complementary perspectives to study and understand linear algebra. | ||
650 | 0 |
_aComputer science _xMathematics. |
|
650 | 0 | _aEngineering mathematics. | |
650 | 0 |
_aEngineering _xData processing. |
|
650 | 0 | _aAlgebras, Linear. | |
650 | 1 | 4 | _aMathematics of Computing. |
650 | 2 | 4 | _aMathematical and Computational Engineering Applications. |
650 | 2 | 4 | _aLinear Algebra. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030213206 |
776 | 0 | 8 |
_iPrinted edition: _z9783030213220 |
776 | 0 | 8 |
_iPrinted edition: _z9783030213237 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-21321-3 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
_c176659 _d176659 |