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portada Applied Linear Algebra and Matrix Analysis
Type
Physical Book
Author
Publisher
Year
2018
Language
English
Pages
479
Format
Hardcover
Dimensions
23.9x16.3x3.1 cm
Weight
0.96 kg.
ISBN13
9783319747477
Edition No.
0002
Categories

Applied Linear Algebra and Matrix Analysis

Thomas S. Shores (Author) · Springer · Hardcover

Applied Linear Algebra and Matrix Analysis - Shores, Thomas S.

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Synopsis "Applied Linear Algebra and Matrix Analysis"

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.

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