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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.
Mihaly Robert Csikszentmihalyi (/ ˈ m iː h aɪ ˈ tʃ iː k s ɛ n t m iː ˌ h ɑː j iː / MEE-hy CHEEK-sent-mee-HAH-yee, Hungarian: Csíkszentmihályi Mihály Róbert, pronounced [ˈt͡ʃiːksɛntmihaːji ˈmihaːj] ⓘ; 29 September 1934 – 20 October 2021) was a Hungarian-American psychologist.
Informally, a flow may be viewed as a continuous motion of points over time. More formally, a flow is a group action of the real numbers on a set. The idea of a vector flow, that is, the flow determined by a vector field, occurs in the areas of differential topology, Riemannian geometry and Lie groups.
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The company's products include FLOW-3D, a CFD software analyzing various physical flow processes; FLOW-3D CAST, a software product for metal casting users; FLOW-3D AM, a software product for simulating additive manufacturing and laser welding processes; FLOW-3D HYDRO, a software product for civil, environmental, and coastal engineers; FLOW-3D CLOUD, a cloud computing service installed on ...
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Note that in practice, scaling the variables , and generally results in significant changes on important parameters in the flow around the impeller blades, such as blade Reynolds number, angle of attack, as well as potential for significant changes in flow state and separation. Thus, the fan affinity laws have a very limited span of validity in ...
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