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20042026
most citedA note on the error analysis of classical Gram-Schmidt

32 citations · 43 across the 12 of their papers we have counts for

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10 papers · 1 filter

math.NA2023

Numerical stability of the symplectic factorization

Maksymilian Bujok, Miroslav Rozložník, Agata Smoktunowicz +1

In this paper we give the detailed error analysis of two algorithms and for computing the symplectic factorization of a symmetric positive definite and symplectic matri…

math.NA2022

On computing the symplectic factorization

Maksymilian Bujok, Alicja Smoktunowicz, Grzegorz Borowik

We analyze two algorithms for computing the symplectic factorization of a given symmetric positive definite symplectic matrix . The first algorithm is an i…

math.NA2018

On constructing orthogonal generalized doubly stochastic matrices

Gianluca Oderda, Alicja Smoktunowicz, Ryszard Kozera

A real quadratic matrix is generalized doubly stochastic (g.d.s.) if all of its row sums and column sums equal one. We propose numerically stable methods for generating such matric…

math.NA2015

Numerical stability of iterative refinement with a relaxation for linear systems

Alicja Smoktunowicz, Jakub Kierzkowski, Iwona Wrobel

Stability analysis of Wilkinson's iterative refinement with a relaxation IR(omega) for solving linear systems is given. It extends existing results for omega=1, i.e., for Wilkinson…

math.NA2013

On the accuracy and stability of algorithms most commonly used in the evaluation of Chebyshev polynomials of the first kind

Alicja Smoktunowicz, Agata Smoktunowicz, Ewa Pawelec

This paper provides error analyses of the algorithms most commonly used for the evaluation of the Chebyshev polynomial of the first kind . Some of these algorithms are show…

math.NA2013

Numerical solution of saddle point problems by block {Gram--Schmidt} orthogonalization

Felicja Okulicka-Dłużewska, Alicja Smoktunowicz

Saddle point problems arise in many important practical applications. In this paper we propose and analyze some algorithms for solving symmetric saddle point problems which are bas…

math.NA2011

Reorthogonalized Block Classical Gram--Schmidt

Jesse L. Barlow, Alicja Smoktunowicz

A new reorthogonalized block classical Gram--Schmidt algorithm is proposed that factorizes a full column rank matrix into where is left orthogonal (has orthonormal c…

math.NA2006★ 32 cited

A note on the error analysis of classical Gram-Schmidt

Alicja Smoktunowicz, Jesse L. Barlow, Julien Langou

An error analysis result is given for classical Gram--Schmidt factorization of a full rank matrix into where is left orthogonal (has orthonormal columns) and is…

math.NA2004★ 1 cited

How to overcome the numerical instability of the scheme of divided differences?

Alicja Smoktunowicz, Przemyslaw Kosowski, Iwona Wrobel

The scheme of divided differences is widely used in many approximation and interpolation problems. Computing the Newton coefficients of the interpolating polynomial is the first st…

math.NA2004★ 8 cited

On improving the accuracy of Horner's and Goertzel's algorithms

Alicja Smoktunowicz, Iwona Wróbel

It is known that Goertzel's algorithm is much less numerically accurate than the Fast Fourier Transform (FFT)(Cf. \cite{gen:69}). In order to improve accuracy we propose modificati…