x̄ - > Introduction to Linear Algebra

Linear algebra is something all mathematics undergraduates and many other students, in subjects ranging from engineering to economics, have to learn. The fifth edition of this hugely successful textbook retains the quality of earlier editions while at the same time seeing numerous minor improvements and major additions. The latter includes a new chapter on singular values and singular vectors, including ways to analyze a matrix of data; a revised chapter on computing in linear algebra, with professional-level algorithms and code that can be downloaded for a variety of languages; a new section on linear algebra and cryptography; and a new chapter on linear algebra in probability and statistics. A dedicated and active website also offers solutions to exercises as well as new exercises from many different sources (e.g. practice problems, exams, development of textbook examples), plus codes in MATLAB, Julia, and Python. This fifth edition contains numerous minor improvements and major additions Provides a new chapter on singular values and singular vectors, as well as a revised chapter on computing in linear algebra A dedicated and active website offers solutions to exercises, new exercises from several sources, and codes in MATLAB, Julia, and Python Read more Customer reviews Not yet reviewed Be the first to review Review was not posted due to profanity × Product details Edition: 5th Edition Date Published: June 2021 format: Hardback ISBN: 9781733146654 length: 584 pages dimensions: 242 x 198 x 31 mm weight: 1.17kg availability: In stock Table of Contents 1. Introduction to vectors2. Solving linear equations3. Vector spaces and subspaces4. Orthogonality5. Determinants6. Eigenvalues and eigenvectors7. The singular value decomposition (SVD)8. Linear transformations9. Complex vectors and matrices10. Applications11. Numerical linear algebra12. Linear algebra in probability and statisticsMatrix factorizationsIndexSix great theorems/linear algebra in a nutshell. Author Gilbert Strang, Massachusetts Institute of TechnologyGilbert Strang is a professor of mathematics at the Massachusetts Institute of Technology, where his research focuses on analysis, linear algebra and PDEs. He is the author of many textbooks and his service to the mathematics community is extensive. He has spent time both as President of SIAM and as Chair of the Joint Policy Board for Mathematics, and has been a member of various other committees and boards. He has received several awards for his research and teaching, including the Chauvenet Prize (1976), the Award for Distinguished Service (SIAM, 2003), the Graduate School Teaching Award (Massachusetts Institute of Technology, 2003) and the Von Neumann Prize Medal (US Association for Computational Mechanics, 2005), among others. He is a Member of the National Academy of Sciences, a Fellow of the American Academy of Arts and Sciences, and an Honorary Fellow of Balliol College, Oxford.