Install this package:
emerge -a sci-libs/colamd
If the package is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask sci-libs/colamd
Or alternatively:
emerge --autounmask-write -a sci-libs/colamd
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 3.2.1 | 8 | ~amd64 ~x86 | 0/3 |
<pkgmetadata> <maintainer type="person"> <email>frp.bissey@gmail.com</email> <name>Francois Bissey</name> </maintainer> <longdescription lang="en"> The COLumn Approximate Minimum Degree ordering algorithm computes a permutation vector P such that the LU factorization of A (:,P) tends to be sparser than that of A. The Cholesky factorization of (A (:,P))\'*(A (:,P)) will also tend to be sparser than that of A\'*A. SYMAMD is a symmetric minimum degree ordering method based on COLAMD, available as a MATLAB-callable function. It constructs a matrix M such that M\'*M has the same pattern as A, and then uses COLAMD to compute a column ordering of M. </longdescription> <upstream> <remote-id type="github">DrTimothyAldenDavis/SuiteSparse</remote-id> </upstream> </pkgmetadata>
Manage flags for this package:
euse -i <flag> -p sci-libs/colamd |
euse -E <flag> -p sci-libs/colamd |
euse -D <flag> -p sci-libs/colamd
| Flag | Description | 3.2.1 |
|---|---|---|
| test | ⚠️ | ✓ |
| Type | File | Size | Versions |
|---|---|---|---|
| DIST | SuiteSparse-7.3.1.gh.tar.gz | 65341950 bytes | 3.2.1 |
| Type | File | Size |
|---|