3 results for “max. error”

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Research ArticleOpen accessIn the keywordsNumerical Solution of Fourth Order Linear Ordinary Differential Equations by Cubic Spline Collocation Tau MethodO.A. Taiwo, O.M. OgunlaranProblem Statement: Many boundary value problems that arise in real life situations defy analytical solution; hence numerical techniques are desirable to find the solution of such equations. New numerical methods which are comparatively better than the existing ones in terms of efficiency, accuracy, stability, convergence and computational cost are always needed. Approach: In this study, we developed and applied three … …Journal of Mathematics and Statistics, Vol. 4, Issue 4 · 31 Dec 2008 · 6,985 accessesView PDF Cite

Research ArticleOpen accessIn the abstractRBFNN Model for Predicting Nonlinear Response of Uniformly Loaded Paddle CantileverAbdullah H. AbdullahThe Radial basis Function neural network (RBFNN) model has been developed for the prediction of nonlinear response for paddle Cantilever with built-in edges and different sizes, thickness and uniform loads. Learning data was performed by using a nonlinear finite element program, incremental stages of the nonlinear finite element analysis were generated by using 25 schemes of built paddle Cantilevers with … …American Journal of Applied Sciences, Vol. 6, Issue 1 · 31 Jan 2009 · 7,644 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPerformance of the Trim and Fill Method in Adjusting for the Publication Bias in Meta-Analysis of Continuous DataNik Ruzni Nik IdrisPublication bias in meta-analysis is a serious issue as it may lead to biased estimates which appear to be precise. A popular method for detecting and adjusting the publication bias is the trim and fill method. This study uses simulated meta-analysis to quantify the effects of publication bias on the overall meta-analysis estimates of continuous data where the absolute mean … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 8 Aug 2012 · 9,435 accessesView PDF Cite