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Linear algebra done right
Material type:
TextLanguage: English Series: Undergraduate texts in mathematicsPublication details: Cham, Switzerland: Springer International Publishing, 2024Edition: 4thDescription: xvii, 390pISBN: - 9783031410253
- 3031410254
- 512.5 AXL-L
| Item type | Current library | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|---|
| Books and Monographs | Central Library, NIT Jalandhar General Stacks | Central Library, NIT Jalandhar | Center for Artificial Intelligence | 512.5 AXL-L (Browse shelf(Opens below)) | Available | 102895 | |||
| Books and Monographs | Central Library, NIT Jalandhar General Stacks | Central Library, NIT Jalandhar | Center for Artificial Intelligence | 512.5 AXL-L (Browse shelf(Opens below)) | Available | 102896 |
Browsing Central Library, NIT Jalandhar shelves, Shelving location: General Stacks, Collection: Center for Artificial Intelligence Close shelf browser (Hides shelf browser)
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| 006.37 SOL-D Programming computer vision with Python | 006.37 SOL-D Programming computer vision with Python | 512.5 AXL-L Linear algebra done right | 512.5 AXL-L Linear algebra done right |
Introduces the fundamental concepts of linear algebra through a rigorous and conceptual approach that emphasizes linear transformations and vector spaces before matrix computations. Covers vector spaces, linear maps, matrices, determinants, eigenvalues, eigenvectors, invariant subspaces, inner-product spaces, operators on complex vector spaces, and spectral theory. Designed for undergraduate and graduate students in mathematics, computer science, engineering, physics, data science, machine learning, and related disciplines.