Results 171 to 180 of about 286,272 (200)
Some of the next articles are maybe not open access.
1995
Abstract We have shown that the central limit theorem can be used to calculate useful approximations to both univariate and multivariate pdfs that are generally easy to evaluate numerically. However, there are circumstances in which Gaussian approximations may be qualitatively inaccurate.
Uri Shmueli, George H Weiss
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Abstract We have shown that the central limit theorem can be used to calculate useful approximations to both univariate and multivariate pdfs that are generally easy to evaluate numerically. However, there are circumstances in which Gaussian approximations may be qualitatively inaccurate.
Uri Shmueli, George H Weiss
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Reduced order approximation of incommensurate fractional order systems
2019 IEEE Conference on Control Technology and Applications (CCTA), 2019Model order approximation of an incommensurate fractional order system is a highly challenging problem by any analytical technique. In view of this, a simple and a computationally efficient approach is proposed for the model order reduction of incommensurate fractional order systems. The proposed approach is based on FOMCON toolbox of MATLAB and hybrid
Shivam Jain, Yogesh V. Hote
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2016
Two-level factorial or fractional factorial experimental designs are used for obtaining a first-order approximation to the response function. They are particularly useful for selecting a smaller subset of potential input factors with which to formulate a better approximation equation.
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Two-level factorial or fractional factorial experimental designs are used for obtaining a first-order approximation to the response function. They are particularly useful for selecting a smaller subset of potential input factors with which to formulate a better approximation equation.
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2011
Because optimal policies require the solution of an m – 1 dimensional dynamic program, finding optimal policies is feasible only for moderately small values of m. For that reason, approximate policies are of particular interest. The first issue to be addressed when trying to find approximations is the form of the approximate policy.
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Because optimal policies require the solution of an m – 1 dimensional dynamic program, finding optimal policies is feasible only for moderately small values of m. For that reason, approximate policies are of particular interest. The first issue to be addressed when trying to find approximations is the form of the approximate policy.
openaire +1 more source
On the Best Rank-1 Approximation of Higher-Order Supersymmetric Tensors
SIAM Journal on Matrix Analysis and Applications, 2002Eleftherios Kofidis, Phillip A Regalia
exaly
New study on neural networks: the essential order of approximation
Neural Networks, 2010Jianjun Wang
exaly
A fourth-order approximation of fractional derivatives with its applications
Journal of Computational Physics, 2015Zhao-Peng Hao, Zhi-Zhong Sun
exaly
An improved high order moment-based saddlepoint approximation method for reliability analysis
Applied Mathematical Modelling, 2020Yimin Zhang, Hao Lu
exaly