Received 10 March 2016; accepted 25 April 2016; published 28 April 2016 1. Introduction In recent years, an application of Legendre wavelet to solve integral-differential equations and partial ...

Previous approaches for computing the supremum norm in this degenerate case, have proven to be unsafe, not sufficiently tight or too tedious in manual work.We present a safe and fast algorithm that ...

Because we get not only a approximation with points (we get a approximation function) we must not calculate a second minimization for the calculation of. will be in general (for) less than M, because ...

Structured Low-Rank Approximation: A process of approximating a matrix by another matrix of lower rank while preserving predefined structural properties, such as Hankel or Toeplitz formations.

This method can be used for both approximation and error estimation of stochastic simulations where the computations can either be guided or come from a legacy database.

Abstract.In this note we consider the problem of localization and approximation of eigenvalues of operators on infinite dimensional Banach and Hilbert spaces. This problem has been studied for ...

I would like to get an accurate estimate of the latent correlation matrix. There is no compiling error, but I've observed that when I use both the original and approx, I reach a maximum iteration ...

This paper is devoted to the mathematical definition of the extrapolation length which appears in the diffusion approximation. To obtain this result, we describe the spectral properties of the ...