Usually one avoids numerical algorithms involving operations with large, fully populated
matrices. Instead one tries to reduce all algorithms to matrix-vector multiplications involving …

Most existing word embedding methods can be categorized into Neural Embedding Models
and Matrix Factorization (MF)-based methods. However some models are opaque to …

We consider the approximate computation of spectral projectors for symmetric banded
matrices. While this problem has received considerable attention, especially in the context of …

This thesis can be divided into two parts:(optimized) Schwarz methods and related topics
and preconditioning of the stage equations of implicit Runge-Kutta methods. Schwarz …

The numerical solution of eigenvalue problems is essential in various application areas of
scientific and engineering domains. In many problem classes, the practical interest is only a …

The computation of eigenvalues of large-scale matrices arising from finite element
discretizations has gained significant interest in the last decade (Knyazev et al. in Numerical …

Purpose The purpose of this paper is to present a computationally efficient approach for the
stochastic modeling of an inhomogeneous reluctivity of magnetic materials. These materials …

Abstract Optimized Schwarz methods (OSMs) use optimized transmission operators
between subdomains adapted to the equation to be solved to maximize the convergence …

A CUBIC SPLINE PROJECTION METHOD FOR COMPUTING STATIONARY DENSITY
FUNCTIONS OF FROBENIUS -PERRON OPERATOR A DISSERTATION IN Math Page 1 A CUBIC …

The volterra-fredholm integral equation in all forms are arose from physics, biology and
engineering problems which is derived from differential equation modelling. On the other …