In this paper we investigate some matrix structures on $\cee^{n\times n}$ that have a good behavior under matrix inversion. The first type of structure is ...
Wilkin- son's algorithms reduce the matrix to tridiagonal form by means of Householder's method and use Sturm sequences to find the eigenvalues and inverse ...
Certification of algorithms 120 and matrix inversion by Gauss-Jordan inversion II. ... Certification of algorithm 140: matrix inversion. 448. Electronic Edition ...
Certification of algorithms 120 and matrix inversion by Gauss-Jordan inversion Ii ... Certification of algorithm 140: matrix inversion. Communications of the ACM ...
Certification of algorithm 140: matrix inversion. Communications of the ACM 6(8): 448 · Certification of Algorithm 58: Matrix inversion. Communications of the ...
An accurate and efficient algorithm, called Fast Inverse using Nested Dissection. (FIND), has been developed for certain sparse matrix computations.
The authors employ the Woodbury matrix inversion lemma to speed up the implementation of IRLSM and compare it to two other algorithms, Optspace and FPCA, ...
Abstract—The i0/i1-regularized least-squares approach is used to deal with linear inverse problems under sparsity con- straints, which arise in mathematical ...
Dear sagemath community, I'm a bit surprised in the result that I obtain when I compute the inverse of a real, sparse matrix. The problem occurs in Sagemath ...
