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A flow-based generative model is a generative model used in machine learning that explicitly models a probability distribution by leveraging normalizing flow, [1] [2] [3] which is a statistical method using the change-of-variable law of probabilities to transform a simple distribution into a complex one.
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John Neulinger (April 26, 1924 - June 20, 1991) was a German-American psychologist and Professor Emeritus of psychology at City College of New York.Neulinger is best known for contributing a social psychological theory of leisure to the field of leisure studies. [1]
MODFLOW-OWHM [11] (version 1.00.12, October 1, 2016), The One-Water Hydrologic Flow Model (MODFLOW-OWHM, MF-OWHM or One-Water [12]), developed cooperatively between the USGS and the U.S. Bureau of Reclamation, is a fusion of multiple versions of MODFLOW-2005 (NWT, LGR, FMP, SWR, SWI) into ONE version, contains upgrades and new features and ...
There are a number of correlations for slip ratio. For homogeneous flow, S = 1 (i.e. there is no slip). The Chisholm correlation [2] [3] is: = The Chisholm correlation is based on application of the simple annular flow model and equates the frictional pressure drops in the liquid and the gas phase.
In fluid dynamics, the mixing length model is a method attempting to describe momentum transfer by turbulence Reynolds stresses within a Newtonian fluid boundary layer by means of an eddy viscosity. The model was developed by Ludwig Prandtl in the early 20th century. [ 1 ]
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A two-dimensional scale model of an aquifer. Groundwater flow can be visualized using a scale model built of acrylic and filled with sand, silt, and clay. [3] Water and tracer dye may be pumped through this system to represent the flow of the simulated groundwater.