Accelerated Gradient Descent Methods For the Uniaxially Constrained Landau-de Gennes Model
Author(s) -
Edison Chukwuemeka
Publication year - 2021
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.31390/gradschool_theses.5264
Subject(s) - gradient descent , axial symmetry , discretization , superposition principle , energy minimization , convergence (economics) , balanced flow , computation , minification , temperature gradient , rate of convergence , descent (aeronautics) , gradient method , mathematics , physics , mathematical analysis , mathematical optimization , computer science , algorithm , geometry , artificial neural network , artificial intelligence , channel (broadcasting) , computer network , quantum mechanics , meteorology , economics , economic growth
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