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Affine scaling - Wikipedia
In mathematical optimization, affine scaling is an algorithm for solving linear programming problems. Specifically, it is an interior point method, discovered by Soviet mathematician I. I. Dikin in 1967 and reinvented in the U.S. in the mid-1980s. See more
Affine scaling has a history of multiple discovery. It was first published by I. I. Dikin at Energy Systems Institute of Russian Academy of Sciences (Siberian Energy Institute, … See more
• Adler, Ilan; Monteiro, Renato D. C. (1991). "Limiting behavior of the affine scaling continuous trajectories for linear programming problems" See more
While easy to state, affine scaling was found hard to analyze. Its convergence depends on the step size, β. For step sizes β ≤ 2/3, Vanderbei's variant of affine scaling has been proven to converge, while for β > 0.995, an example problem is known that … See more
• "15.093 Optimization Methods, Lecture 21: The Affine Scaling Algorithm" (PDF). MIT OpenCourseWare. 2009.
• Mitchell, John (November 2010). "Interior Point Methods". Rensselaer Polytechnic Institute. See moreWikipedia text under CC-BY-SA license Scaling (geometry) - Wikipedia
Affine transformation - Wikipedia
WEBExamples of affine transformations include translation, scaling, homothety, similarity, reflection, rotation, hyperbolic rotation, shear mapping, and …
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Affine transformations | Brilliant Math & Science Wiki
WEBAn affine transformation is a type of geometric transformation which preserves collinearity (if a collection of points sits on a line before the transformation, they all sit on a line afterwards) and the ratios of …
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WEBAffine transformations are a class of transformations fundamental to modelling objects in three dimensions. This article presents the transformation and inverse transformation matrices for translating, …
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WEBMost common geometric transformations that keep the origin fixed are linear, including rotation, scaling, shearing, reflection, and orthogonal projection; if an affine transformation is not a pure translation it keeps …
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