Linear algebra and its applications

Lay, David C.

Linear algebra and its applications by David C. Lay, Steven R. Lay and Judith McDonald - 5th ed. - New york : Pearson, ©2016 - xvi, 494 p. : ill. ; 26 cm.

Includes index

1. Linear equations in linear algebra 2. Matrix algebra 3. Determinants 4. Vector spaces 5. Eigenvalues and eigenvectors 6. Orthogonality and least squares 7. Symmetric matrices and quadratic forms 8. The geometry of vector spaces 9. Optimization (online) 10. Finite-state markov chains (online)

For courses in linear algebra. With traditional linear algebra texts, the course is relatively easy for students during the early stages as material is presented in a familiar, concrete setting. However, when abstract concepts are introduced, students often hit a wall. Instructors seem to agree that certain concepts (such as linear independence, spanning, subspace, vector space, and linear transformations) are not easily understood and require time to assimilate. These concepts are fundamental to the study of linear algebra, so students' understanding of them is vital to mastering the subject.

9780321982384


Mathematics
Linear Algebra

REF 512.5 / LAY-L
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