软件包:libcholmod3(1:5.4.0+dfsg-1)
libcholmod3 的相关链接
Debian 的资源:
下载源码包 suitesparse:
- [suitesparse_5.4.0+dfsg-1.dsc]
- [suitesparse_5.4.0+dfsg.orig.tar.xz]
- [suitesparse_5.4.0+dfsg-1.debian.tar.xz]
维护小组:
外部的资源:
- 主页 [www.suitesparse.com]
相似软件包:
sparse Cholesky factorization library for sparse matrices
Suitesparse is a collection of libraries for computations involving sparse matrices.
The CHOLMOD library provides a set of routines for factorizing sparse symmetric positive definite matrices of the form A or AA', updating/downdating a sparse Cholesky factorization, solving linear systems, updating/downdating the solution to the triangular system Lx=b, and many other sparse matrix functions for both symmetric and unsymmetric matrices. Its supernodal Cholesky factorization relies on LAPACK and the Level-3 BLAS, and obtains a substantial fraction of the peak performance of the BLAS.
其他与 libcholmod3 有关的软件包
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- dep: libamd2 (>= 1:4.5.2)
- approximate minimum degree ordering library for sparse matrices
-
- dep: libblas3
- Basic Linear Algebra Reference implementations, shared library
- 或者 libblas.so.3
- 本虚包由这些包填实: libatlas3-base, libblas3, libblis2-openmp, libblis2-pthread, libblis2-serial, libopenblas-base
-
- dep: libc6 (>= 2.17) [arm64]
- GNU C 语言运行库:共享库
同时作为一个虚包由这些包填实: libc6-udeb
- dep: libc6 (>= 2.7) [除 arm64]
-
- dep: libcamd2 (>= 1:4.5.2)
- symmetric approximate minimum degree library for sparse matrices
-
- dep: libccolamd2 (>= 1:4.5.2)
- constrained column approximate library for sparse matrices
-
- dep: libcolamd2 (>= 1:4.5.2)
- column approximate minimum degree ordering library for sparse matrices
-
- dep: libgcc1 (>= 1:3.5) [armhf]
- GCC 支持库
-
- dep: libgomp1 (>= 4.9)
- GCC OpenMP(GOMP)支持库
-
- dep: liblapack3
- Library of linear algebra routines 3 - shared version
- 或者 liblapack.so.3
- 本虚包由这些包填实: libatlas3-base, liblapack3, libopenblas-base
-
- dep: libmetis5
- Serial Graph Partitioning and Fill-reducing Matrix Ordering
-
- dep: libsuitesparseconfig5 (>= 1:5.0.0)
- configuration routines for all SuiteSparse modules