Product Details
Amazon Sales Rank: #1050543 in Books
Published on: 2003-01
Number of items: 1
Binding: Paperback
492 pages
Editorial Reviews
About the Author
David C. Lay holds a B.A. from Aurora University (Illinois), and an M.A. and Ph.D. from the University of California at Los Angeles. Lay has been an educator and research mathematician since 1966, mostly at the University of Maryland,
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J C Nash (Adam Hilger) Contents: 1. A STARTING POINT 1.1. Purpose and scope 1.2. Machine characteristics 1.3. Sources of programs 1.4. Programming languages used and structured programming 1.5. Choice of algorithms 1.6. A method for expressing algorithms 1.7. General notation 1.8. Software engineering issues 2. FORMAL PROBLEMS IN LINEAR ALGEBRA 2.1. Introduction 2.2. Simultaneous linear equations 2.3. The linear least-squares problem 2.4. The inverse and generalised inverse of a matrix 2.5. Decompositions of a matrix 2.6. The matrix eigenvalue problem 3. THE SINGULAR-VALUE DECOMPOSITION AND ITS USE TO SOLVE LEAST-SQUARES PROBLEMS 3.1. Introduction 3.2. A singular-value decomposition algorithm 3.3. Orthogonalisation by plane rotations 3.4. A fine point 3.5. An alternative implementation of the singular-value decomposition 3.6. Using the singular-value decomposition to solve least-squares problems 4. HANDLING LARGER PROBLEMS 4.1. Introduction 4.2. The Givens’ reduction 4.3. Extension t
Clearly explains the introductory concepts of linear algebra. Provides students with many real-world linear algebra topics to explore. Students with experience in general mathematics, up to and including Algebra I, should be able to comprehend.
Book Description
Linear algebra is relatively easy for students during the early stages of the course, when the material is presented in a familiar, concrete setting. But when abstract concepts are introduced, students often hit a brick wall. Instructors seem to agree that certain concepts (such as linear independence, spanning, subspace, vector space, and linear transformations), are not
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{Mathematics Video Lectures/Algebra} by video_lectures .This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices.
