Matrix data structures, linear solvers, least squares methods, eigenvalue,
and singular value decompositions. For larger random dense matrices (above ~ 350 x 350)
matrix-matrix multiplication C = A.B is about 50% faster than MTJ.
Version1.0.5compared with
Version Details
| 1.0.5 | 1.1.0 | |
|---|---|---|
| Release date | Nov 27, 2018 | Jan 01, 2019 |
| Licenses | LGPL | LGPL |
| Vulnerabilities | None | None |
Test Changes (3)
| 1.0.5 | 1.1.0 | ||
|---|---|---|---|
| Change | Group / Artifact | Previous | Current |
| + Added | com.google.guava » guava | - | 18.0 |
| + Added | junit » junit | - | 4.12 |
| + Added | net.sf.opencsv » opencsv | - | 2.3 |