It is known that the restarted full orthogonalization method (FOM) outperforms the restarted generalized minimum residual method (GMRES) in several circumstances for solving shifted linear systems when the shifts are handled simultaneously. On the basis of theWeightedArnoldi process, aweighted version of the Restarted Shifted FOM is proposed, which can provide accelerating convergence rate with...

When two sets of line scans are acquired orthogonal to each other, intensity values are known along the lines of a grid. To view these values as an image, intensities need to be interpolated at regularly spaced pixel positions. In this paper we evaluate three methods for interpolation from grid lines: linear, transfinite and weighted. Linear method does not preserve the known values along the g...

In a recent paper [4] we introduced a new method for finding search directions for interior point methods (IPMs) in linear optimization (LO), and we developed a new polynomial algorithm for solving LO problems. It is well-known that using the self-dual embedding we can find a starting feasible solution, and this point will be on the central path. We proved [3] that this initialization method ca...

abstract- noise is considered as one of the most debilitating conditions in farming operations. in this study, a number of factors affecting the noise generated by sampo 3065 combine harvesters were evaluated. factors were engine speed and gear ratio for combines with and without original cabins. a factorial experiment arranged as a completely randomized design with four replicates was used. re...

The weighted essentially nonoscillatory (WENO) methods are popular spatial discretization methods for hyperbolic partial differential equations. In this paper we show that the combination of the widely used fifth-order WENO spatial discretization (WENO5) and the forward Euler time integration method is linearly unstable when numerically integrating hyperbolic conservation laws. Consequently it ...

In classifier combination, it is believed that diverse ensembles have a better potential for improvement on the accuracy than nondiverse ensembles. We put this hypothesis to a test for two methods for building the ensembles: Bagging and Boosting, with two linear classifier models: the nearest mean classifier and the pseudo-Fisher linear discriminant classifier. To estimate diversity, we apply n...

Measuring weak lensing cosmic magnification signal is very challenging due to the overwhelming intrinsic clustering in observed galaxy distribution. In this paper, we modify Internal Linear Combination (ILC) method reconstruct with an extra constraint suppress clustering. To quantify performance, construct a realistic catalogue for LSST-like photometric survey, covering $20\,000\ \deg^2$ mean s...

Newton’s iteration method is widely used in numerical methods, but its convergence low. Though a higher order algorithm leads to fast convergence, it always complex. An optimal formulation much needed for both and simple calculation. Here, we develop two-step fourth-order iterative based on linear combination of two schemes nonlinear equations, explore the criteria proposed also demonstrate val...