Description
| Product ID: | 9781733146630 |
| Product Form: | Hardback |
| Country of Manufacture: | US |
| Title: | Linear Algebra for Everyone |
| Authors: | Author: Gilbert Strang |
| Page Count: | 368 |
| Subjects: | Algebra, Algebra, Mathematical modelling, Maths for engineers, Pattern recognition, Mathematical modelling, Maths for engineers, Pattern recognition |
| Description: | Select Guide Rating From Gilbert Strang, a new approach to linear algebra that is suitable for everyone, going from basics to the singular value decomposition. Linear algebra has become the subject to know for people in quantitative disciplines of all kinds. No longer the exclusive domain of mathematicians and engineers, it is now used everywhere there is data and everybody who works with data needs to know more. This new book from Professor Gilbert Strang, author of the acclaimed Introduction to Linear Algebra, now in its fifth edition, makes linear algebra accessible to everybody, not just those with a strong background in mathematics. It takes a more active start, beginning by finding independent columns of small matrices, leading to the key concepts of linear combinations and rank and column space. From there it passes on to the classical topics of solving linear equations, orthogonality, linear transformations and subspaces, all clearly explained with many examples and exercises. The last major topics are eigenvalues and the important singular value decomposition, illustrated with applications to differential equations and image compression. A final optional chapter explores the ideas behind deep learning. |
| Imprint Name: | Wellesley-Cambridge Press,U.S. |
| Publisher Name: | Wellesley-Cambridge Press,U.S. |
| Country of Publication: | GB |
| Publishing Date: | 2020-11-26 |
