| Edition |
Fourth edition / Richard Bronson, Gabriel B. Costa, John T. Saccoman, Daniel Gross. |
| Description |
1 online resource |
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text rdacontent |
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computer rdamedia |
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online resource rdacarrier |
| Note |
Previous edition: published as by Richard Bronson, Gabriel B. Costa, John T. Saccoman. 2013. |
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Includes index. |
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<p>1. Matrices 2. Vector Spaces 3. Linear Transformations 4. Eigenvalues, Eigenvectors, and Differential Equations 5. Euclidean Inner Product</p> <p>Appendix A. Determinants B. Jordan Canonical Forms C. Markov Chains D. The Simplex Method, an Example E. A Word on Numerical Techniques and Technology Answers And Hints To Selected Problems</p> |
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Description based on CIP data; resource not viewed. |
| Summary |
Linear Algebra: Algorithms, Applications, and Techniques, Fourth Edition offers a modern and algorithmic approach to computation while providing clear and straightforward theoretical background information. The book guides readers through the major applications, with chapters on properties of real numbers, proof techniques, matrices, vector spaces, linear transformations, eigen values, and Euclidean inner products. Appendices on Jordan canonical forms and Markov chains are included for further study. This useful textbook presents broad and balanced views of theory, with key material highlighted and summarized in each chapter. To further support student practice, the book also includes ample exercises with answers and hints. |
| Subject |
Algebras, Linear.
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Algèbre linéaire.
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Algebras, Linear
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| Added Author |
Costa, Gabriel B., author.
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Saccoman, John T., 1964- author.
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Gross, Daniel, author.
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| Other Form: |
Print version: 9780128234709 |
| ISBN |
9780323984270 ePub ebook |
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0323984274 |
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9780128234709 paperback |
| Standard No. |
UKMGB 020952119 |
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AU@ 000073813813 |
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