نتایج جستجو برای: gll quadrature

تعداد نتایج: 12961  

Journal: :The Computer Journal 1967

Journal: :IEEE Transactions on Signal Processing 2021

Importance sampling (IS) and numerical integration methods are usually employed for approximating moments of complicated target distributions. In its basic procedure, the IS methodology randomly draws samples from a proposal distribution weights them accordingly, accounting mismatch between proposal. this work, we present general framework techniques inspired by methodology. The can also be see...

2005
ANITA T. LAYTON MICHAEL L. MINION

This paper concerns a class of deferred correction methods recently developed for initial value ordinary differential equations; such methods are based on a Picard integral form of the correction equation. These methods divide a given timestep [tn, tn+1] into substeps, and use function values computed at these substeps to approximate the Picard integral by means of a numerical quadrature. The m...

Journal: :Mathematics of Computation 1967

Journal: :Proceedings of the London Mathematical Society 1900

Journal: :Journal of Approximation Theory 1986

2010
M. K. Jain

1. Introduction. The estimation of quadrature errors for analytic functions has been considered by Davis and Rabinowitz [1]. An estimate for the error of the Gaussian quadrature formula for analytic functions was obtained by Davis [2]. McNamee [3] has also discussed the estimation of error of the Gauss-Legendre quadrature for analytic functions. Convergence of the Gaussian quadratures was discu...

Journal: :iranian journal of fuzzy systems 2013
masoumeh zeinali sedaghat shahmorad kamal mirnia

this paper investigates existence and uniqueness results for the first order fuzzy integro-differential equations. then numerical results and error bound based on the left rectangular quadrature rule, trapezoidal rule and a hybrid of them are obtained. finally an example is given to illustrate the performance of the methods.

Journal: :Journal of Machine Learning Research 2010
Constantin F. Aliferis Alexander R. Statnikov Ioannis Tsamardinos Subramani Mani Xenofon D. Koutsoukos

We present an algorithmic framework for learning local causal structure around target variables of interest in the form of direct causes/effects and Markov blankets applicable to very large data sets with relatively small samples. The selected feature sets can be used for causal discovery and classification. The framework (Generalized Local Learning, or GLL) can be instantiated in numerous ways...

2014
Hua-Pin Chen

The electronically tunable quadrature oscillator using a single multiple-output current controlled current differencing transconductance amplifier (MO-CCCDTA) and grounded passive components is presented. The proposed configuration uses a single MO-CCCDTA, two grounded capacitors and one grounded resistor. Two high-output impedance quadrature current signals and two quadrature voltage signals w...

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