Linear Algebra
This book introduces the fundamental concepts, techniques and results of linear algebra that form the basis of analysis, applied mathematics and algebra. Intended as a text for undergraduate students of mathematics, science and engineering with a knowledge of set theory, it discusses the concepts th...
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| Hlavní autor: | |
|---|---|
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Singapore :
Springer Singapore ,
2018.
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| Vydání: | 1st ed. 2018. |
| Témata: | |
| ISBN: | 9789811309267 |
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| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
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| 005 | 20220618101202.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 180717s2018 si | s |||| 0|eng d | ||
| 020 | |a 9789811309267 | ||
| 024 | 7 | |a 10.1007/978-981-13-0926-7 |2 doi | |
| 035 | |a CVTIDW11172 | ||
| 040 | |a Springer-Nature |b eng |c CVTISR |e AACR2 | ||
| 041 | |a eng | ||
| 100 | 1 | |a Nair, M. Thamban. |4 aut | |
| 245 | 1 | 0 | |a Linear Algebra |h [electronic resource] / |c by M. Thamban Nair, Arindama Singh. |
| 250 | |a 1st ed. 2018. | ||
| 260 | 1 | |a Singapore : |b Springer Singapore , |c 2018. | |
| 300 | |a XI, 341 p. 2 illus. |b online resource. | ||
| 500 | |a Mathematics and Statistics | ||
| 505 | 0 | |a Chapter 1. Vector Spaces -- Chapter 2. Linear Transformations -- Chapter 3. Elementary Operations -- Chapter 4. Inner Product Spaces -- Chapter 5. Eigenvalues and Eigenvectors -- Chapter 6. Block Diagonal Representation -- Chapter 7. Spectral Decomposition. | |
| 516 | |a text file PDF | ||
| 520 | |a This book introduces the fundamental concepts, techniques and results of linear algebra that form the basis of analysis, applied mathematics and algebra. Intended as a text for undergraduate students of mathematics, science and engineering with a knowledge of set theory, it discusses the concepts that are constantly used by scientists and engineers. It also lays the foundation for the language and framework for modern analysis and its applications. Divided into seven chapters, it discusses vector spaces, linear transformations, best approximation in inner product spaces, eigenvalues and eigenvectors, block diagonalisation, triangularisation, Jordan form, singular value decomposition, polar decomposition, and many more topics that are relevant to applications. The topics chosen have become well-established over the years and are still very much in use. The approach is both geometric and algebraic. It avoids distraction from the main theme by deferring the exercises to the end of each section. These exercises aim at reinforcing the learned concepts rather than as exposing readers to the tricks involved in the computation. Problems included at the end of each chapter are relatively advanced and require a deep understanding and assimilation of the topics. | ||
| 650 | 0 | |a Algebras, Linear. | |
| 650 | 0 | |a Matrix theory. | |
| 650 | 0 | |a Algebra. | |
| 650 | 0 | |a Mathematics-Study and teaching . | |
| 856 | 4 | 0 | |u http://hanproxy.cvtisr.sk/han/cvti-ebook-springer-eisbn-978-981-13-0926-7 |y Vzdialený prístup pre registrovaných používateľov |
| 910 | |b ZE08452 | ||
| 919 | |a 978-981-13-0926-7 | ||
| 974 | |a andrea.lebedova |f Elektronické zdroje | ||
| 992 | |a SUD | ||
| 999 | |c 236781 |d 236781 | ||