Results 31 to 40 of about 65 (65)
Based on the compact SVD decomposition of the full rank of a predetermined matrix M, a method for calculating the inverses AT,S(2)A_{T,S}^{\left( 2 \right)} of matrix A is derived. As a consequence, the advantages of compact single value decompositions
Stanimirović Ivan
doaj +1 more source
Recent trends on analytic properties of matrix orthonormal polynomials
. In this paper we give an overview of recent results on analytic properties of matrix orthonormal polynomials. We focus our attention on the distribution of their zeros as well as on the asymptotic behavior of such polynomials under some restrictions ...
F. Marcellán, H. O. Yakhlef
core
. A new criterion for selective reorthogonalization in the Gram-Schmidt procedure is given. We establish its comportment in presence of rounding errors when the criterion is used with modified Gram-Schmidt algorithm and show counter-example matrices ...
Luc Giraud, Julien Langou
core
IMPLEMENTING AN INTERIOR POINT METHOD FOR LINEAR PROGRAMS ON A CPU-GPU SYSTEM ∗
. Graphics processing units (GPUs), present in every laptop and desktop computer, are potentially powerful computational engines for solving numerical problems.
Dianne P. O’leary +4 more
core
Obtaining Medical Textiles Based on Viscose and Chitosan/Zinc Nanoparticles with Improved Antibacterial Properties by Using a Dielectric Barrier Discharge. [PDF]
Korica MD +7 more
europepmc +1 more source
Dynamical low-rank approximation
. For the low rank approximation of time-dependent data matrices and of solutions to matrix differential equations, an increment-based computational approach is proposed and analyzed.
Christian Lubich, Othmar Koch
core
Insights into the missing apiosylation step in flavonoid apiosides biosynthesis of Leguminosae plants. [PDF]
Wang HT +11 more
europepmc +1 more source
Chitosan Nanoparticles Functionalized Viscose Fabrics as Potentially Durable Antibacterial Medical Textiles. [PDF]
Korica M +8 more
europepmc +1 more source
Backward Errors for Eigenvalue and Singular Value Decompositions
. We present bounds on the backward errors for the symmetric eigenvalue decomposition and the singular value decomposition in the two-norm and in the Frobenius norm.
I.C.F. Ipsen, S. Chandrasekaran
core
Gegenbauer polynomials and semiseparable matrices
. In this paper, we develop a new O(n log n) algorithm for converting coefficients between expansions in different families of Gegenbauer polynomials up to a finite degree n.
Jens Keiner
core

