Details:
- Fixed an innocuous bug that manifested when running the testsuite on
extremely small matrices with randomization via the "powers of 2 in
narrow precision range" option enabled. When the randomization
function emits a perfect 0.0 to fill a 1x1 matrix, the testsuite will
then compute 0.0/0.0 during the normalization process, which leads to
NaN residuals. The solution entails smarter implementaions of randv,
randnv, randm, and randnm, each of which will compute the 1-norm of
the vector or matrix in question. If the object has a 1-norm of 0.0,
the object is re-randomized until the 1-norm is not 0.0. Thanks to
Kiran Varaganti for reporting this issue (#413).
- Updated the implementation of randm_unb_var1() so that it loops over
a call to the randv_unb_var1() implementation directly rather than
calling it indirectly via randv(). This was done to avoid the overhead
of multiple calls to norm1v() when randomizing the rows/columns of a
matrix.
- Updated comments.
b5b604e106