TY  - BOOK
AU  - Shores,Thomas S.
TI  - Applied linear algebra and matrix analysis
T2  - Undergraduate texts in mathematics, 
SN  - 9783319747477
U1  - 512.64 
PY  - 2018///
CY  - New York, NY
PB  - Springer Berlin Heidelberg
KW  - Algebra
KW  - Algebras, Linear
KW  - Matrix analytic methods
KW  - Gaussian elimination
KW  - Matrix theory
KW  - Gram-Schmidt algorithm
KW  - Vector spaces
KW  - Discrete dynamical systems
KW  - Matrix algebra
KW  - Google PageRank
KW  - Linear programming
N1  - Includes bibliographical references (pages 469-470) and index
N2  - In its second edition, this textbook offers a fresh approach to matrix and linear algebra. Its blend of theory, computational exercises, and analytical writing projects is designed to highlight the interplay between these aspects of an application. This approach places special emphasis on linear algebra as an experimental science that provides tools for solving concrete problems.

The second edition’s revised text discusses applications of linear algebra like graph theory and network modeling methods used in Google’s PageRank algorithm. Other new materials include modeling examples of diffusive processes, linear programming, image processing, digital signal processing, and Fourier analysis. These topics are woven into the core material of Gaussian elimination and other matrix operations; eigenvalues, eigenvectors, and discrete dynamical systems; and the geometrical aspects of vector spaces.

Intended for a one-semester undergraduate course without a strict calculus prerequisite, Applied Linear Algebra and Matrix Analysis augments the key elements of linear algebra with a wide choice of optional sections. With the book’s selection of applications and platform-independent assignments, instructors can tailor the curriculum to suit specific interests and ensure students across various disciplines are equipped with the powerful tools of linear algebra
UR  - https://link.springer.com/content/pdf/bfm:978-3-319-74748-4/1
UR  - https://www.goodreads.com/book/show/37692856-applied-linear-algebra-and-matrix-analysis?ref=nav_sb_ss_1_13#CommunityReviews
ER  -