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Linear Algebra with Applications, Ninth Edition is designed for the introductory course in linear algebra for students within engineering, mathematics, business management, and physics. Updated to increase clarity and improve student learning, the author provides a flexible blend of theory and engaging applications. The material in Linear Algebra with Applications, Ninth Edition is arranged into three parts that contain core and optional sections: Part 1 introduces the basics, discussing systems of linear equations, vectors in Rn matrices, linear transformations, determinants, eigenvalues, and eigenspaces. Part 2 builds on this material to discuss general vector spaces, and includes such topics as the Rank/Nullity Theorem, inner products and coordinate representation. Part 3 completes the course with important ideas and methods in Numerical Linear Algebra including ill-conditioning, pivoting, LU decomposition and Singular Value Decomposition. Throughout the text the author provides interesting applications, ranging from theoretical applications such as the use of linear algebra in differential equations, to many practical applications in the fields of electrical engineering, traffic analysis, relativity, history, and more. Learn more about WebAssign for Linear Algebra with Applications, Ninth Edition and try an example assignment! Updated to simplify earlier material in the text while going into later, more advanced material in more depth Interesting applications, both theoretical and practical, engage and challenge students Carefully explained and illustrated examples highlight key concepts through the text A MATLAB manual, included as an appendix, consists of 31 sections that tie into course material Available with WebAssign Online Homework and Assessment with integrated eBook Written for the introductory course in linear algebra for students within engineering, mathematics, business management, and physics. © 2019 | 594 pages

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