Results 221 to 230 of about 222,299 (265)
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Block Mirror Stochastic Gradient Method For Stochastic Optimization
Journal of Scientific Computing, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jinda Yang +3 more
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2022
This chapter looks into stochastic methods used to model different situations, which often involve using random numbers in one way or another. Methods like resampling and bootstrapping illustrate how flexible and widespread stochastic methods are. The main advantage of stochastic methods revolves around how it can allow working out useful stuff without
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This chapter looks into stochastic methods used to model different situations, which often involve using random numbers in one way or another. Methods like resampling and bootstrapping illustrate how flexible and widespread stochastic methods are. The main advantage of stochastic methods revolves around how it can allow working out useful stuff without
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On stochastic methods for surface reconstruction
The Visual Computer, 2007In this article, we present and discuss three statistical methods for surface reconstruction. A typical input to a surface reconstruction technique consists of a large set of points that has been sampled from a smooth surface and contains un- certain data in the form of noise and outliers. We first present a method that filters out uncertain and redun-
Waqar Saleem +4 more
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Soft Comput., 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gabor Rebner +3 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gabor Rebner +3 more
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Segmentation of Stochastic Images With a Stochastic Random Walker Method
IEEE Transactions on Image Processing, 2012We present an extension of the random walker segmentation to images with uncertain gray values. Such gray-value uncertainty may result from noise or other imaging artifacts or more general from measurement errors in the image acquisition process. The purpose is to quantify the influence of the gray-value uncertainty onto the result when using random ...
Torben Pätz, Tobias Preusser
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A stochastic improvement method for stochastic programming
Computational Statistics & Data Analysis, 1992zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Morita, Hiroshi, Ishii, Hiroaki
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Stochastic Methods for Production Processes
Economic Quality Control, 2004Summary: In two recent papers [\textit{E. von Collani}, ``Theoretical stochastics'' and ``Empirical stochastics'', in: E. v. Collani (ed.), Defining the science of stochastics. Lemgo: Heldermann Verlag. 147--174 and 175--213 (2004), contained in Zbl 1094.62005], Stochastics, the Science of Prediction is re-established, its basic concepts are developed ...
von Collani, Elart, Dumitrescu, Monica
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Stochastic Reduced Basis Methods
AIAA Journal, 2002Stochastic reduced basis methods for solving large-scale linear random algebraic systems of equations, such as those obtained by discretizing linear stochastic partial differential equations in space, time, and the random dimension, are introduced.
Nair, Prasanth B., Keane, Andrew J.
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Stochastic Methods in Transport Theory
Fusion Technology, 1998info:eu-repo/semantics ...
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Stochastic Network Planning Method
2009The success of the realisation of a project depends greatly on the efficiency of the planning phase. This study presents a new technology supporting the planning phase.
Zsolt Tibor Kosztyán, Judit Kiss
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