Filters
A Robust Preconditioner with Low Memory Requirements for Large Sparse Least Squares Problems.
. The algorithm computes an incomplete LDLT factorization of the normal equations matrix without the need to form the normal matrix itself. The preconditioner is reliable 9. A comparison with incomplete QR precondi...
BA - Obecná matematika
- 2003 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
An analytical X-ray CdTe detector response matrix for incomplete charge collection correction for photon energies up to 300 keV
matrix. The effect of incomplete charge collection was described quantitatively by the Hecht equation and was incorporated into the detector response matrixThe distortion of the measured energy spectra caused by incomp...
Nuclear physics
- 2018 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
On Signed Incomplete Cholesky Factorization Preconditioners for Saddle-Point Systems
Limited-memory incomplete Cholesky factorizations can provide robust-point form.A limited-memory signed incomplete Cholesky factorization of the form $LDL^T$ is proposed, where the diagonal matrix $D$ has entries $pm 1$. Th...
BA - Obecná matematika
- 2014 •
- Jx •
- Link
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Výsledek na webu
Incomplete preference matrix with elements from an Alo-group and its application to ranking of alternatives
A preference matrix is the result of pairwise comparison a powerful method) to any pair of alternatives representing the element of the preference matrix (P-matrix). We generalize the well known multiplicative, additive and...
BB - Aplikovaná statistika, operační výzkum
- 2015 •
- D
Rok uplatnění
D - Stať ve sborníku
Preconditioning of linear least squares by robust incomplete factorization for implicitly held normal equations
of computing an incomplete LLT factorization of the normal equations matrix without having to form the normal matrix itself. The right-looking implementation of Benzi and Tuma linear least squares problem can be extremely ...
Applied mathematics
- 2016 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
Preconditioner Updates for Solving Sequences of Linear Systems in Matrix-Free Environment
systems in the special case where the implementation is matrix free. Both approaches are based on the general updates of incomplete LU decompositions recently introduced solvers. The first approach uses a new model of partial m...
BA - Obecná matematika
- 2010 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Mathematical correction of the incomplete charge collection in measured spectra
For the use of SURO analytically enumerate and verify the matrix for the correction of incomplete charge collection in x ray spectra measured using the XR-100T detector for energies up to 160 keV. Presented at XXXVIII. Dny radiační...
BG - Jaderná, atomová a molekulová fyzika, urychlovače
- 2016 •
- O •
- Link
Rok uplatnění
O - Ostatní výsledky
Výsledek na webu
A Robust Incomplete Factorization Preconditioner for Positive Definite Matrices.
We describe a novel technique for computing a sparse incomplete factorization of a general symmetric positive definite matrix A. The factorization is not based, the incomplete factorization always exists and can be computed...
BA - Obecná matematika
- 2003 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Balanced Incomplete Factorization
The paper deals with the new algorithm to precondition large, sparse, symmetric and positive definite linear systems. The strategy is based on computing both direct and inverse decomposition of the system matrix and their balancing via dropp...
IN - Informatika
- 2008 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
A Schur complement approach to preconditioning sparse linear least-squares problems with some dense rows
The effectiveness of sparse matrix techniques for directly solving large-scale linear least-squares problems is severely limited if the system matrix A has one difficulty is that the reduced normal matrix A(s)(T) A(s) is of...
Applied mathematics
- 2018 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
- 1 - 10 out of 21 009