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Filtering by: Keyword machine learning Resource type Dissertation Subject Applied mathematics Subject Chemical engineering

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Description:: Mixing by cutting-and-shuffling (like that for a deck of cards or a Rubik's cube) is a paradigm that has not been studied in detail even though it can be applied in a variety of situations including the mixing of granular materials. Mathematically, cutting- and-shuffling is described by piecewise isometries (PWIs),...
Keyword:: granular materials, mixing, machine learning, piecewise isometries, cutting-and-shuffling, and interval exchange transforms
Subject:: Applied mathematics, Chemical engineering, and Mechanical engineering
Creator:: Lynn, Thomas Ferguson
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 06/22/2022
Date Created:: 2022-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_881325 and http://dissertations.umi.com/northwestern:15951

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