inverse modeling

  • 21Multivariate Pólya distribution — The multivariate Pólya distribution, named after George Pólya, also called the Dirichlet compound multinomial distribution, is a compound probability distribution, where a probability vector p is drawn from a Dirichlet distribution with parameter …

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  • 22Rockworks — First developed in 1985 by RockWare Inc, RockWorks is used by the mining, petroleum, and environmental industry for subsurface visualization, borehole database management as well as the creation of grids, solid models, calculating volumetric ana …

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  • 23Computational lithography — (also known as computational scaling) is the set of mathematical and algorithmic approaches designed to improve the resolution attainable through photolithography. Computational lithography has come to the forefront of photolithography in 2008 as …

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  • 24Variable régionalisée — La VR comme phénomène physique : topographie de la ville de Binche …

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  • 25Logarithm — The graph of the logarithm to base 2 crosses the x axis (horizontal axis) at 1 and passes through the points with coordinates (2, 1), (4, 2), and (8, 3) …

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  • 26Trigonometric functions — Cosine redirects here. For the similarity measure, see Cosine similarity. Trigonometry History Usage Functions Generalized Inverse functions …

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  • 27analysis — /euh nal euh sis/, n., pl. analyses / seez /. 1. the separating of any material or abstract entity into its constituent elements (opposed to synthesis). 2. this process as a method of studying the nature of something or of determining its… …

    Universalium

  • 28Computational fluid dynamics — Computational physics Numerical analysis  …

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  • 29Misuse case — Example of the Misuse case principle, which could be used in thinking about capturing security requirements. Misuse Case is a business process modeling tool used in the software development business. The term Misuse case or mis use case has… …

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  • 30Maximum likelihood — In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum likelihood estimation provides estimates for the model s… …

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