signature(x = "sparseQR"):参见expand1-methods。 expand2 signature(x = "sparseQR"):参见expand2-methods。 qr.Q signature(qr = "sparseQR"):返回dgeMatrix或,具体取决于可选参数complete。默认为FALSE,表示。 qr.R signature(qr = "sparseQR"):qrR返回、、或,具体取决于可选参数complete和backPermute。
Sparse matrix factorization involves a mix of regular and irregu- lar computation, which is a particular challenge when trying to ob- tain high-performance on the highly parallel general-purpose comput- ing cores available on graphics processing units (GPUs). We present a sparse multifrontal QR ...
I understand that SparseQR is used to factorize sparse matrices and can also be used to solve a sparse linear system of equations. At least, the title Sparse QR is: "The Sparse QR routines provide a multifrontal sparse QR factorization method for solving a sparse system of linear equations...
Python wrapper for SuiteSparseQR This module wraps theSuiteSparseQRdecomposition function for use withSciPy. This is Matlab's sparse[Q,R,E] = qr(). For some reason, no one ever wrapped that function of SuiteSparseQR for Python. Also wrapped are the SuiteSparseQR solvers forA x = bfor t...
mkl_sparse_d_create_csr(&csrA, SPARSE_INDEX_BASE_ZERO, M, N, pointerB, pointerE, columns, values); Second, call the reordering step of Sparse QR with appropriate descriptor, descrA = {.type = SPARSE_MATRIX_TYPE_GENERAL}: mkl_sparse_d_qr_reorder(cs...
FindingGoodColumnOrderingsforSparseQRFactorization?PinarHeggernesUniversityofBergenDepartmentofInformaticsN???Bergen?Norwaye?mail?pinar?ii?uib?noPontusMatstomsLink?opingUniversityDepartmentofMathematicsS???Link?oping?Swedene?mail?pomat?mai?liu?seAbstractForsparseQRfactorization??ndingagoodcolumnorderingofthematr...
Algorithm 915, SuiteSparseQR: Multifrontal Multithreaded Rank-Revealing Sparse QR Factorization. SuiteSparseQR is a sparse QR factorization package based on the multifrontal method. Within each frontal matrix, LAPACK and the multithreaded BLAS enable t... DAVIS,TIMOTHY,A. - 《Acm Transactions on Mathem...
⭐⭐⭐Algorithm 9xx, SuiteSparseQR: multifrontal multithreaded rank-revealing sparse QR: 一、重排序与符号分析 1.1寻找单例 (1colamd) 符号分析的第一步是删除单例(singletons)。A的单例指一个列 只有一个单独非零项 ,其大小大于给定的阈值
Sparse QR decomposition of a sparse matrixKNex