Current Issue : April - June Volume : 2014 Issue Number : 2 Articles : 7 Articles
We present a new finite element method for Darcy-Stokes-Brinkman equations using primal and dual meshes for the velocity\r\nand the pressure, respectively. Using an orthogonal basis for the discrete space for the pressure, we use an efficiently computable\r\nstabilization to obtain a uniform convergence of the finite element approximation for both limiting cases....
We present an efficient numerical algorithm for computing the eigenvalue of the linear homogeneous integral equations. The\r\nproposed algorithm is based on antithetic Monte Carlo algorithm and a low-discrepancy sequence, namely, Faure sequence. To\r\nreduce the computational time we reduce the variance by using the antithetic variance reduction procedure. Numerical results\r\nshow that our scheme is robust and accurate....
This paper gives an overview of three simulation studies in dynamic project scheduling integrating baseline scheduling with risk\r\nanalysis and project control.This integration is known in the literature as dynamic scheduling. An integrated project control method\r\nis presented using a project control simulation approach that combines the three topics into a single decision support system. The\r\nmethodmakes use ofMonte Carlo simulations and connects schedule risk analysis (SRA) with earned value management (EVM).A\r\ncorrective action mechanism is added to the simulationmodel to measure the efficiency of two alternative project control methods.\r\nAt the end of the paper, a summary of recent and state-of-the-art results is given, and directions for future research based on a new\r\nresearch study are presented....
We provide numerical solution to the one-dimensional wave equations in polar coordinates, based on the cubic B-spline quasiinterpolation.\r\nThe numerical scheme is obtained by using the derivative of the quasi-interpolation to approximate the spatial\r\nderivative of the dependent variable and a forward difference to approximate the time derivative of the dependent variable. The\r\naccuracy of the proposed method is demonstrated by three test problems. The results of numerical experiments are compared with\r\nanalytical solutions by calculating errors ??2-norm and ??8-norm.The numerical results are found to be in good agreement with\r\nthe exact solutions.The advantage of the resulting scheme is that the algorithm is very simple so it is very easy to implement...
This paper is introduced as a survey of result on some generalization of Banach�s fixed point and their approximations to the fixed\r\npoint and error bounds, and it contains some new fixed point theorems and applications on dualistic partial metric spaces....
The classical Riccati equation for the prediction error covariance arises in linear estimation and is derived by the discrete time\r\nKalman filter equations. New Riccati equations for the estimation error covariance as well as for the smoothing error covariance\r\nare presented.These equations have the same structure as the classical Riccati equation. The three equations are computationally\r\nequivalent. It is pointed out that the new equations can be solved via the solution algorithms for the classical Riccati equation using\r\nother well-defined parameters instead of the original Kalman filter parameters....
We introduce a new version of the trial equation method for solving nonintegrable partial differential equations in mathematical\r\nphysics. Some exact solutions including soliton solutions and rational and elliptic function solutions to the Klein-Gordon-Zakharov\r\nequation with power law nonlinearity in (1 + 2) dimensions are obtained by this method....
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