commit | 20440849794789eb9d9d29bc834296ce0e73b05c | [log] [tgz] |
---|---|---|
author | Antonio Sanchez <cantonios@google.com> | Mon Jan 11 11:30:01 2021 -0800 |
committer | Antonio Sanchez <cantonios@google.com> | Mon Jan 11 11:30:01 2021 -0800 |
tree | 1e270d021f6ee33267a25602f473bcfa6432ec78 | |
parent | 3daf92c7a5e8288d47839e47a461b8d249d206f1 [diff] |
Remove TODO from Transform::computeScaleRotation() Upon investigation, `JacobiSVD` is significantly faster than `BDCSVD` for small matrices (twice as fast for 2x2, 20% faster for 3x3, 1% faster for 10x10). Since the majority of cases will be small, let's stick with `JacobiSVD`. See !361.
Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.
For more information go to http://eigen.tuxfamily.org/.
For pull request, bug reports, and feature requests, go to https://gitlab.com/libeigen/eigen.