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Modified two‐step hybrid methods for the numerical integration of oscillatory problems
Mathematical Methods in the Applied Sciences, 2017Th Monovasilis +2 more
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Advanced Numerical and Semi-Analytical Methods for Differential Equations, 2019
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International Conference on Information Control Systems & Technologies, 2020
Sentiment analysis is one of the text mining fields that classify the polarity of document texts and determine positive, neutral, or negative opinions. Document texts tend to have noise features or irrelevant features, so that feature selection is needed
Pulung Hendro Prastyo +2 more
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Sentiment analysis is one of the text mining fields that classify the polarity of document texts and determine positive, neutral, or negative opinions. Document texts tend to have noise features or irrelevant features, so that feature selection is needed
Pulung Hendro Prastyo +2 more
semanticscholar +1 more source
ACM Transactions on Graphics, 1995
We examine various solutions to the global illumination problem, based on an exact mathematical analysis of the rendering equation. In addition to introducing efficient radiosity algorithms, we present a uniform approach to reformulate all of the basic radiosity equations used so far. Using hybrid methods we are able to analyze possible combinations of
László Neumann, Attila Neumann
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We examine various solutions to the global illumination problem, based on an exact mathematical analysis of the rendering equation. In addition to introducing efficient radiosity algorithms, we present a uniform approach to reformulate all of the basic radiosity equations used so far. Using hybrid methods we are able to analyze possible combinations of
László Neumann, Attila Neumann
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CATENA, 2019
This paper assesses hybrid spatial models with the use of auxiliary variables based on machine learning algorithms for predicting soil Organic Matter (OM) content in Kastoria area (Greece).
P. Tziachris +3 more
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This paper assesses hybrid spatial models with the use of auxiliary variables based on machine learning algorithms for predicting soil Organic Matter (OM) content in Kastoria area (Greece).
P. Tziachris +3 more
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, 2020
Accurate short-term traffic flow prediction is essential for real-time traffic control. A linear hybrid method and a nonlinear hybrid method for short-term traffic flow prediction are propo...
Ronghan Yao, Wensong Zhang, Lihui Zhang
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Accurate short-term traffic flow prediction is essential for real-time traffic control. A linear hybrid method and a nonlinear hybrid method for short-term traffic flow prediction are propo...
Ronghan Yao, Wensong Zhang, Lihui Zhang
semanticscholar +1 more source
On a Research of Hybrid Methods
2013Constructed hybrid methods of the high accuracy the experts examined that's for solving integral and integro-differential equations. Using hybrid methods for solving integral equations belongs to Makroglou. Here, developing these idea, explored a more general hybrid method which is applied to solving Volterra integral equations and also constructed a ...
Mehdiyeva Galina +2 more
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BIT, 1983
A method combining iterations of the Laguerre and modified Laguerre root-finding methods was developed to correct a problem of the modified Laguerre method with “paired approximations”. Experimental results indicate that this hybrid Laguerre method successfully separates approximation pairs which inhibit convergence in the modified Laguerre method.
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A method combining iterations of the Laguerre and modified Laguerre root-finding methods was developed to correct a problem of the modified Laguerre method with “paired approximations”. Experimental results indicate that this hybrid Laguerre method successfully separates approximation pairs which inhibit convergence in the modified Laguerre method.
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