Intense recent discussions have focused on how to provide individuals with control over
when their data can and cannot be used---the EU's Right To Be Forgotten regulation is an …

This paper shows that discrete linear equations with Hilbert matrix operator, circulant matrix
operator, conference matrix operator, banded matrix operator, TST matrix operator, and …

The G-transformation is an efficient method for solving the weighted least squares problems.
However, the underflows were not considered in the original G-transformation. In order to …

In this work, we explore theory and algorithms that improve the efficiency of various aspects
of machine learning systems. First, we investigate algorithmic principles that enable efficient …

We consider saddle point problem and proposed an updating QR factorization technique for
its solution. In this approach, instead of working with large system which may have a number …

The generalized QR factorization, also known as GQR factorization, is a method that
simultaneously transforms two matrices A and B in a triangular form. In this paper, we show …

This paper shows that discrete linear equations with Hilbert matrix operator, circulant matrix
operator, conference matrix operator, banded matrix operator, TST matrix operator, and …

La explicación de diversos fenómenos se puede desarrollar a través de un modelamiento
de funciones que permiten caracterizar su comportamiento. Una de las metodologías …

The generalized QR factorization, also known as GQR factorization, is a method that
simultaneously transforms two matrices A and B in a triangular form. In this paper, we show …

La factorización QR generalizada, también conocida como factorización GQR, permite
descomponer dos matrices A y B simultáneamente a una forma triangular. En este artículo …