Loading...
Please wait, while we are loading the content...
INVERTIBLE MATRICES
| Content Provider | Scilit |
|---|---|
| Author | Robbin, Joel W. |
| Copyright Year | 2018 |
| Description | We saw in Theorem 39D how to do this for a 2 x 2 matrix and now we will learn how to do it in the η x n case. The algorithm we employ is called Gauss-Jordan Elimination. It is quite easy to implement on a computer. This algorithm is also quite useful for solving linear systems A X = Y where A might not be a square matrix. We will use it for this purpose in Chapter 4. That's why we will also learn how to apply the algorithm to matrices that aren't square. Book Name: Matrix Algebra Using MINimal MATlab |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2010-0-47231-5&isbn=9781315275451&doi=10.1201/9781315275451-9&format=pdf |
| DOI | 10.1201/9781315275451-9 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2018-10-08 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Matrix Algebra Using MINimal MATlab Cybernetical Science |
| Content Type | Text |
| Resource Type | Chapter |
