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Unformatted text preview: Recommended problems: 112, p. 252. Section 5. Orthonormal sets. Definition  orthogonal vectors, orthonormal vectors, examples, properties and applications. Orthogonal matrices  definition, properties. Approximation of functions. Recommended problems: examples from textbook, or done in class, homework problems for this section. Section 6. Gram Schmidt algorithm; Recommended problems: examples from textbook, or done in class, homework problems for this section. Review problems: Chapter test A, B page 294 Chapter 6: Eigenvalues and eigenvectors . Review Sections 13. Recommended problems: examples from textbook, or done in class, homework problems for this sections....
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This note was uploaded on 03/27/2008 for the course MATH 27 taught by Professor Jung during the Spring '08 term at A.T. Still University.
 Spring '08
 Jung
 Algebra, Scalar

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