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Arming readers with both theoretical and practical knowledge, Advanced Linear Algebra for Engineers with MATLAB provides reallife problems that readers can use to model and solve engineering and scientific problems in fields ranging from signal processing and communications to electromagnetics and social and health sciences.Facilitating a unique understanding of rapidly evolving linear algebra and matrix methods, this book:Outlines the basic concepts and definitions behind matrices, matrix algebra, elementary matrix operations, and matrix partitions, describing their potential use in signal and image processing applicationsIntroduces concepts of determinants, inverses, and their use in solving linear equations that result from electrical and mechanicaltype systemsPresents special matrices, linear vector spaces, and fundamental principles of orthogonality, using an appropriate blend of abstract and concrete examples and then discussing associated applications to enhance readers visualization of presented conceptsDiscusses linear operators, eigenvalues, and eigenvectors, and explores their use in matrix diagonalization and singular value decompositionExtends presented concepts to define matrix polynomials and compute functions using several wellknown methods, such as Sylvesters expansion and CayleyHamiltonIntroduces state space analysis and modeling techniques for discrete and continuous linear systems, and explores applications in control and electromechanical systems, to provide a complete solution for the state space equationShows readers how to solve engineering problems using least square, weighted least square, and total least square techniquesOffers a rich selection of exercises and MATLAB assignments that build a platform to enhance readers understanding of the materialStriking the appropriate balance between theory and reallife applications, this book provides both advanced students and professionals in the field with a valuable reference that they will continually consult.
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