accuracy 
Accuracy of several multidimensional refinable distributions


The accuracy of f is the highest degree p such that all multivariate polynomials q with degree(q)>amp;lt;p are exactly reproduced from linear combinations of translates of f1,...,fr along the lattice Γ.


Furthermore, they are compared with respect to accuracy and efficiency with other methods to approximate canonical windows associated with Gabor frames.


Our results are valid for any quantizer with accuracy ε >amp;gt; 0 operating in the nooverload regime.


Accuracy of prediction was found to vary from a minimum of approximately 86% to a maximum of approximately 88%.


Accuracy of prediction of these models varied from approximately 83% to 85%.


The methods have the advantages of parallel computing, stability and good accuracy.


In this paper, the random weighting method is applied to the exponential system, and we construct the approximation to the estimates of the system parameters with an accuracy ofo(n1/2) asn→∞.


AlBaali, we get the global convergence of the FletcherReeves algorithm with a lowaccuracy inexact linesearch.


The shape preserving ang high accuracy approximation with multiquadric


A special penalty method is presented to improve the accuracy of the standard penalty method for solving Stokes equation with nonconforming finite element.


It is shown that this method with a larger penalty parameter can achieve the same accuracy as the standard method with a smaller penalty parameter.


The convergence rate of the standard method is just half order of this penalty method when using the same penalty parameter, while the extrapolation method proposed by Faik et al can not yield so high accuracy of convergence.


A set of 12parameter rectangular plate element with high accuracy


A numerical example is given to illustrate the procedures, prediction intervals are investigated via Monte Carlo method, and the accuracy of prediction intervals is presented.


The accuracy and reproducibility of the method were evaluated by bovine serum albumin (BSA) digest as having a relative standard deviation of less than 30% and good reproducibility.


The accuracy of invariants in phase space reconstruction is greatly improved.


The example shows that the accuracy of classification systems of the fuzzy association rules is better than that of the two popular classification methods: C4.5 and CBA.


The obtained results can be used for the user to determine the manufacturing accuracy of the reflector of the SFOC antennas.


It not only has high positioning accuracy, but also reduces the location failure probability.

