| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4639467 | Journal of Computational and Applied Mathematics | 2013 | 20 Pages |
Abstract
The problem of fitting cylinders to data arises in science and industry. This article proves the existence of generalized cylinders–Cartesian products of generalized spheres and affine manifolds–fitted to data by using many criteria, including generalized least-squares, weighted median, and midrange regressions.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Yves Nievergelt,