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Matrices and MATLAB: A Tutorial, 1/e
Marvin Marcus, University of California, Santa Barbara
Published April, 1998 by Prentice Hall Engineering/Science/Mathematics
Copyright 1993, 736 pp.
Cloth
ISBN 0-13-562901-2
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Introductory Linear Algebra-Mathematics
Linear Algebra-Mechanical Engineering
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This thorough exploration of all aspects of modern matrix theory
integrates the use of MatLab from the beginning.
features in-depth coverage of complex numbers and functions.
covers similarity theory and various canonical forms; Kronecker
products numbers, numerical range, singular values, matrix sign function,
compound matrices.
explains the meaning and use of the many MatLab commands
in the natural context of learning the relevant matrix ideas.
offers a wide selection of current mathematical applications.
contains hundreds of mathematical and MatLab exercises
most with solutions.
1. Matrices.
2. Complex Numbers.
3. Partitioned Matrices.
4. Elementary Matrices and Rank.
5. Permutations.
6. Determinants.
7. Eigenvalues.
8. Triangularization.
9. Congruence.
10. Matrix Polynomials and Similarity.
References.
Symbol Index.
Index.
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