The reduction of computational costs in the numerical solution nonstationary problems is achieved through splitting schemes. In this case, solving a set less computationally complex provides transition to new level time. traditional construction approach schemes based on an additive representation problem operator(s) and uses explicit-implicit approximations for individual terms. Recently (Efen...

This work is based on the comparative study of different decomposition methods used to de-noise an ECG signal. There are several signal processing techniques available like Fourier Transform method, Short Term Fourier Transform method, Wavelet analysis, Empirical Mode of Decomposition method etc. Though Fourier Transform method is predominantly used for decomposition purpose but it is not suita...

In this work, we conduct a comparative study among the combine Laplace transform and modied Adomian decomposition method (LMADM) and two traditional methods for an analytic and approximate treatment of special type of nonlinear Volterra integro-differential equations of the second kind. The nonlinear part of integro-differential is approximated by Adomian polynomials, and the equation is reduce...

Considering the fast respond and high generalization accuracy of the min-max modular support vector machine (M-SVM), we apply M-SVM to solving the gender recognition problem and propose a novel task decomposition method in this paper. Firstly, we extract features from the face images by using a facial point detection and Gabor wavelet transform method. Then we divide the training data set into ...

In this paper, a Laplace transform decomposition algorithm (LTDA) is proposed to solve the Riccati equation. Comparisons are made among the homotopy perturbation method (HPM), the Adomian decomposition method (ADM) and the proposed method. It is shown that the homotopy perturbation method with a specific convex homotopy is equivalent to the Adomian decomposition method and the Laplace transform...

A domain decomposition approach for the parallelization of the Wigner Monte Carlo method allows the huge memory requirements to be distributed amongst many computational units, thereby making large multidimensional simulations feasible. Two domain decomposition techniques—a uniform slab and uniform block decomposition—are compared and the design and implementation of the block decomposition app...

Decision table decomposition is a method that decomposes given decision table into an equivalent set of decision tables. Decomposition can enhance the quality of knowledge discovered from databases by simplifying the data mining task. The paper contains a description of decision table decomposition method and their evaluation for data classification. Additionally, a novel method of obtaining at...

The potential energy hyper surfaces (FES) of the unimolecular rearrangements of a) Nitromethane itei totrans acknitromethane b) nitrometharie (/) to methyl nitrite (3) and c) naromethane decomposition tomethyl and nitrogen dioxide were searched using the ab !nth° MP2 method. Split valence 6-310(d.p) basisset was used for geometry optimizations, frequency and 1RC computations along each reaction...