We present an iterative method based on the Hermitian and skew-Hermitian splitting for solving the continuous Sylvester equation. By using the Hermitian and skew-Hermitian splitting of the coefficient matrices A and B, we establish a method which is practically inner/outer iterations, by employing a CGNR-like method as inner iteration to approximate each outer iterate, while each outer iteratio...

Signal-time coding, which combines the traditional encoding/modulation mode in the signal domain with signal pulse phase modulation in the time domain, was proposed to improve the information flow rate in relay networks. In this paper, we mainly focus on the efficient signal-time coding design. We first derive an explicit iterative algorithm to estimate the maximum number of available codes giv...

Five numerical methods for pricing American put options under Heston’s stochastic volatility model are described and compared. The option prices are obtained as the solution of a two-dimensional parabolic partial differential inequality. A finite difference discretization on nonuniform grids leading to linear complementarity problems with M -matrices is proposed. The projected SOR, a projected ...

Timo Kaukoranta Olli Nevalainen University of Turku Turku Centre for Computer Science (TUCS) Department of Computer Science Lemminkäisenkatu 14 A FIN-20520 Turku, Finland Abstract. The well-known LBG algorithm uses binary splitting for generating an initial codebook, which is then iteratively improved by the generalized Lloyd algorithm (GLA). We study different variants of the splitting method ...

In this paper, efficient direct and iterative methods are described for solving a large random sparse non-symmetric linear system. Such systems of linear equations of huge order arise in several applications such as physics, mechanics, signal processing and other applications of real life problems. For this reason, we try to develop direct and iterative methods for solving such systems of linea...

The present paper aims to deal with an inexact implicit method a variable parameter for generalmixed variational inequalities in the setting of real Hilbert spaces. Under standard assumptions, globalconvergence proposed is proved. Numerical example presented illustrate proposedmethod and convergence result. results this generalize, extend unifysome known literature.

Considering the frequent occurrence of hazy weather, single image dehazing has become an important research task. Physical model-based and deep learning-based methods are two competitive in dehazing, but achieving fidelity effectively removing haze at same time real scenes is still a challenging problem. In this work, we propose mixed iterative model to restore high-quality clear images by inte...