Linear algebra and its applications / David C. Lay, Steven R. Lay, Judi J. McDonald.
Material type: TextPublisher: Harlow, United Kingdom : Pearson Education Limited, 2022Edition: Sixth edition, Global editionDescription: 614, 41, 9 pages, 3 unnumbered pages : illustrations (chiefly colour), graphs (some colour) ; 26 cmContent type:- text
- unmediated
- volume
- 9781292351216
- 512.5 LA.L 2022 23
Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Books | The Knowledge Hub Library | Information Management | 512.5 LA.L 2022 (Browse shelf(Opens below)) | Available | 212145 | ||
Books | The Knowledge Hub Library | Information Management | 512.5 LA.L 2022 (Browse shelf(Opens below)) | Available | 212146 |
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303.4834 YE.A 2010 Algorithmic regulation / | 428.24 MC.A 2016 Academic vocabulary in use : vocabulary reference and practice, self-study and classroom use / | 428.24 MC.A 2016 Academic vocabulary in use : vocabulary reference and practice, self-study and classroom use / | 512.5 LA.L 2022 Linear algebra and its applications / | 512.5 LA.L 2022 Linear algebra and its applications / | 515 AN.A 2016 Anton's Calculus : early transcendentals / | 515 AN.A 2016 Anton's Calculus : early transcendentals / |
Includes bibliographical references and indexes.
Linear Equations in Linear Algebra -- Matrix Algebra -- Determinants -- Vector Spaces -- Eigenvalues and Eigenvectors -- Orthogonality and Least Squares -- Symmetric Matrices and Quadratic Forms -- The Geometry of Vector Spaces -- Optimization -- Finite-State Markov Chains -- Appendixes -- Glossary.
For courses in Linear Algebra. Fosters the concepts and skills needed for future careers Linear Algebra and Its Applications offers a modern elementary introduction with broad, relevant applications. With traditional texts, the early stages of the course are relatively easy as material is presented in a familiar, concrete setting, but students often hit a wall when abstract concepts are introduced. Certain concepts fundamental to the study of linear algebra (such as linear independence, vector space, and linear transformations) require time to assimilate -- and students' understanding of them is vital. Lay, Lay, and McDonald make these concepts more accessible by introducing them early in a familiar, concrete ℝn setting, developing them gradually, and returning to them throughout the text so that students can grasp them when they are discussed in the abstract.
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