### LassoNAL: version 0 -- a MATLAB software for
Lasso regularized linear least squares problems

The software was first released on 16 September 2017. It was
last updated in 16 September 2017.
The software is designed to solve Lasso regularized linear least
squares problems of the form:
\(
\qquad\; \min_x \{f(x) + \lambda\, \|x\|_1 \mid x \in \mathbb{R}^{n}\}
\)

where \(\lambda > 0\) is a regularization paramter, and \(f(x) = \frac{1}{2}\|A(x)-b\|^2\).
Important note:
this is a research software. It is not intended nor designed to be a general
purpose software at the moment.

For more details, see:
Xudong Li, Defeng Sun, and Kim-Chuan Toh
A highly efficient semismooth Netwon augmented Lagrangian method for solving Lasso problems,
SIAM J. Optimization, in print.

- Copyright:
This version of LassoNAL is distributed under the GNU General Public License 2.0.
For commercial applications that may be incompatible with this license,
please contact the authors to discuss alternatives.
** Download LassoNAL-0.zip**

Please read.
Welcome to LassoNAL-0!
- Firstly, unpack the software:

unzip LassoNAL-0.zip
- Run Matlab in the directory LassoNAL-0
- After that, to see whether you have installed LassoNAL-0 correctly,
type:

>> startup

>> test_random
- By now, LassoNAL is ready for you to use.