نتایج جستجو برای: collocation method error estimates

تعداد نتایج: 1938482  

Journal: :WSEAS transactions on mathematics 2022

Over the years, scholars have developed predictor-corrector method to provide estimates for ordinary differential equations (ODEs). Predictor-corrector methods been reduced predicting-correcting with no concern finding convergence-criteria each loop suitable vary step size in order maximize error. This study aim consider computing fuzzy employing extended block predictor-block corrector (EBP-BC...

Journal: :Journal of Computational Physics 2021

This paper constructs adaptive sparse grid collocation method onto arbitrary order piecewise polynomial space. The is a popular technique for high dimensional problems, and the associated has been well studied in literature. contribution of this work introduction systematic framework high-order space that allowed to be discontinuous. We consider both Lagrange Hermite interpolation methods on ne...

2006
M. Javidi

Abstract We consider solitary-wave solutions of the generalized Burger’s-Fisher equation ∂Ψ ∂t + αΨ δ ∂Ψ ∂x − ∂ 2Ψ ∂x2 = βΨ(1 − Ψδ). In this paper, we present a new method for solving of the generalized Burger’s-Fisher equation by using the collocation formula for calculating spectral differentiation matrix for Chebyshev-Gauss-Lobatto point. To reduce round-off error in spectral collocation met...

2011
Orsolya Vincze Margarita Alonso Ramos Estela Mosqueira Suárez Sabela Prieto González

This paper provides an insight into ongoing research focusing on the exploitation of data from learner corpus in order to enhance the performance of an automatic tool aimed at the correction of collocation errors of L2 Spanish speakers. The procedure adopted for collocation annotation is described together with the main difficulties involved in the annotation task, such as the problem of distin...

2013
M. Zarebnia

In this paper the Kuramoto-Sivashinsky equation is solved numerically by collocation method. The solution is approximated as a linear combination of septic B-spline functions. Applying the Von-Neumann stability analysis technique, we show that the method is unconditionally stable. The method is applied on some test examples, and the numerical results have been compared with the exact solutions....

In this paper a robust and accurate algorithm based on Haar wavelet collocation method (HWCM) is proposed for solving eighth order boundary value problems. We used the Haar direct method for calculating multiple integrals of Haar functions. To illustrate the efficiency and accuracy of the concerned method, few examples are considered which arise in the mathematical modeling of fluid dynamics an...

Journal: :مرتع و آبخیزداری 0
علی شهبازی دانشجوی دکتری آبخیزداری، دانشکدة منابع طبیعی، دانشگاه تهران، ایران شهرام خلیقی سیگارودی استادیار دانشکدة منابع طبیعی، دانشگاه تهران، ایران آرش ملکیان استادیار دانشکدة منابع طبیعی، دانشگاه تهران، ایران علی سلاجقه استاد دانشکدة منابع طبیعی، دانشگاه تهران، ایران

in order to decrease the risks associated with the management of urban watersheds, the use of proper methods is an essential task to estimate the runoff with a high degree of confidence. time of concentration is one of factors that impacts on peak discharge and runoff volume. the objective of this study is to select the best method among the empirical formulas for estimating the time of concent...

2014
Veronique Inghelbrecht Jo Verhaevert Tanja van Hecke Hendrik Rogier

Although a wide range of direction of arrival (DOA) estimation algorithms has been described for a diverse range of array configurations, no specific stochastic analysis framework has been established to assess the probability density function of the error on DOA estimates due to random errors in the array geometry. Therefore, we propose a stochastic collocation method that relies on a generali...

2010
J.A.C. WEIDEMAN

We introduce a new method for computing the Hubert transform on the real line. It is a collocation method, based on an expansion in rational eigenfunctions of the Hubert transform operator, and implemented through the Fast Fourier Transform. An error analysis is given, and convergence rates for some simple classes of functions are established. Numerical tests indicate that the method compares f...

A Back Propagation Artificial Neural Network (BPANN) is a well-known learning algorithmpredicated on a gradient descent method that minimizes the square error involving the networkoutput and the goal of output values. In this study, 261 GPS/Leveling and 8869 gravity intensityvalues of Iran were selected, then the geoid with three methods “ellipsoidal stokes integral”,“BPANN”, and “collocation” ...

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