During the last two decades a lot of researches have been done on the estimation of fundamental matrix, which represents the epipolar geometry between two un-calibrated perspective images. In this paper we proposed a new linear and iterative method for estimating the fundamental matrix. It preserves the noise model of of the observed image points, e.g. a Gaussian noise distribution. When the no...

This paper introduces a discrete singular convolution algorithm for solving the Fokker–Planck equation. Singular kernels of the Hilbert-type and the delta type are presented for numerical computations. Various sequences of approximations to the singular kernels are discussed. A numerical algorithm is proposed to incorporate the approximation kernels for physical applications. Three standard pro...

The matrix inversion plays a signifcant role in engineering and sciences. Any nonsingular square matrix has a unique inverse which can readily be evaluated via numerical techniques such as direct methods, decomposition scheme, iterative methods, etc. In this research article, first of all an algorithm which has fourth order rate of convergency with conditional stability will be proposed. ...

Efforts to accelerate stunting will be more effective with specific and sensitive nutrition intervention programs provided in a convergent manner. Programs between government agencies ensure the availability of each service for priority target families interventions all groups people, especially lower middle class. The purpose this research was find out implementation convergence action scope p...

the computation of the inverse roots of matrices arises in evaluating non-symmetriceigenvalue problems, solving nonlinear matrix equations, computing some matrixfunctions, control theory and several other areas of applications. it is possible toapproximate the matrix inverse pth roots by exploiting a specialized version of new-ton's method, but previous researchers have mentioned that some...