Linear algebra and its applications
"Linear Algebra and its Applications, Second Edition presents linear algebra as the theory and practice of linear spaces and linear maps with a unique focus on the analytical aspects as well as the numerous applications of the subject. In addition to thorough coverage of linear equations, matrices, vector spaces, game theory, and numerical analysis, the Second Edition features student-friendly additions that enhance the book's accessibility, including expanded topical coverage in the early chap…
Read More ↓Title Statements
- Full title :Linear algebra and its applications / Peter D. Lax.
Summary
"Linear Algebra and its Applications, Second Edition presents linear algebra as the theory and practice of linear spaces and linear maps with a unique focus on the analytical aspects as well as the numerous applications of the subject. In addition to thorough coverage of linear equations, matrices, vector spaces, game theory, and numerical analysis, the Second Edition features student-friendly additions that enhance the book's accessibility, including expanded topical coverage in the early chapters, additional exercises, and solutions to selected problems." --Book Jacket.
Read More ↓Edition Statements
- Publication Date:©2007.
- Edition:2nd ed
Publication Statements
- Publisher(s):Wiley-Interscience
- Place of Publication:Hoboken, N.J
- Language:eng
- Publication Date:©2007.
Notes
Previous edition: Linear algebra. New York : Wiley, c1997.
The Physical Object
- Description:xv, 376 pages : : illustrations ; : 25 cm.
Edition Identifiers
- ISBN:9780471751564, 0471751561
- oclc:ocn138342469
- LC Classification:QA184.2
- Dewey Decimal:512/.5
Table of Contents
Fundamentals -- Duality -- Linear mappings -- Matrices -- Determinant and trace -- Spectral theory -- Euclidean structure -- Spectral theory of self-adjoint mappings -- Calculus of vector- and matrix-valued functions -- Matrix inequalities -- Kinematics and dynamics -- Convexity -- The duality theorem -- Normed linear spaces -- Linear mappings between normed linear spaces -- Positive matrices -- How to solve systems of linear equations -- How to calculate the eigenvalues of self-adjoint matrices -- Solutions.
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