AbstractA new form of the QR factorization procedure is presented which is based on a generalization of the Householder transformation. This extension is a block matrical form of the usual Householder procedure which leads to a dichotomic algorithm which allows parallel implementation
A standard algorithm for computing the QR factorization of a matrix A is Householder triangularizati...
A standard algorithm for computing the QR factorization of a matrix A is Householder triangularizati...
International audienceThe Tall-Skinny QR (TSQR) algorithm is more communication efficient than the s...
AbstractA new form of the QR factorization procedure is presented which is based on a generalization...
Householder Transformation (HT) is a prime building block of widely used numerical linear algebra pr...
Householder Transformation (HT) is a prime building block of widely used numerical linear algebra pr...
This manuscript focuses on the development of a parallel QR-factorization of structured rank matrice...
AbstractThe paper brings a massively parallel Poisson solver for rectangle domain and parallel algor...
This is a post-peer-review, pre-copyedit version of an article published in Proceedings of 4th Eurom...
A standard algorithm for computing the QR factorization of a matrix A is Householder triangularizati...
For given m × n matrix A, with m> n, QR factorization has form A = Q R O where matrix Q is m×m an...
Gaussian Elimination with Partial Pivoting and Householder QRfactorization are two very popular meth...
Gaussian Elimination with Partial Pivoting and Householder QRfactorization are two very popular meth...
AbstractThe paper brings a massively parallel Poisson solver for rectangle domain and parallel algor...
A standard algorithm for computing the QR factorization of a matrix A is Householder triangularizati...
A standard algorithm for computing the QR factorization of a matrix A is Householder triangularizati...
A standard algorithm for computing the QR factorization of a matrix A is Householder triangularizati...
International audienceThe Tall-Skinny QR (TSQR) algorithm is more communication efficient than the s...
AbstractA new form of the QR factorization procedure is presented which is based on a generalization...
Householder Transformation (HT) is a prime building block of widely used numerical linear algebra pr...
Householder Transformation (HT) is a prime building block of widely used numerical linear algebra pr...
This manuscript focuses on the development of a parallel QR-factorization of structured rank matrice...
AbstractThe paper brings a massively parallel Poisson solver for rectangle domain and parallel algor...
This is a post-peer-review, pre-copyedit version of an article published in Proceedings of 4th Eurom...
A standard algorithm for computing the QR factorization of a matrix A is Householder triangularizati...
For given m × n matrix A, with m> n, QR factorization has form A = Q R O where matrix Q is m×m an...
Gaussian Elimination with Partial Pivoting and Householder QRfactorization are two very popular meth...
Gaussian Elimination with Partial Pivoting and Householder QRfactorization are two very popular meth...
AbstractThe paper brings a massively parallel Poisson solver for rectangle domain and parallel algor...
A standard algorithm for computing the QR factorization of a matrix A is Householder triangularizati...
A standard algorithm for computing the QR factorization of a matrix A is Householder triangularizati...
A standard algorithm for computing the QR factorization of a matrix A is Householder triangularizati...
International audienceThe Tall-Skinny QR (TSQR) algorithm is more communication efficient than the s...
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