Explore >> Select a destination
|
You are here 
|
walkingrandomly.com | ||
| | | | |
nla-group.org
|
|
| | | | | by Sven Hammarling and Nick Higham It is often thought that Jim Wilkinson developed backward error analysis because of his early involvement in solving systems of linear equations. In his 1970 Turing lecture [5] he described an experience, during world war II at the Armament Research Department, of solving a system of twelve linear equations | |
| | | | |
nhigham.com
|
|
| | | | | Backward error is a measure of error associated with an approximate solution to a problem. Whereas the forward error is the distance between the approximate and true solutions, the backward error is how much the data must be perturbed to produce the approximate solution. For a function $latex f$ from $latex \mathbb{R}^n$ to $latex \mathbb{R}^n$ | |
| | | | |
www.johndcook.com
|
|
| | | | | Notes on math and software: probability, approximations, special functions, regular expressions, Python, C++, R, etc. | |
| | | | |
blog.ml.cmu.edu
|
|
| | | The latest news and publications regarding machine learning, artificial intelligence or related, brought to you by the Machine Learning Blog, a spinoff of the Machine Learning Department at Carnegie Mellon University. | ||
