
Accelerated Gradient Descent Methods For the Uniaxially Constrained Landau-de Gennes Model
Author(s) -
Edison E. Chukwuemeka
Publication year - 2022
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.31390/gradschool_theses.5264
Subject(s) - gradient descent , axial symmetry , discretization , superposition principle , balanced flow , energy minimization , convergence (economics) , computation , minification , rate of convergence , temperature gradient , descent (aeronautics) , mathematics , physics , mathematical analysis , mathematical optimization , computer science , geometry , algorithm , artificial neural network , artificial intelligence , quantum mechanics , channel (broadcasting) , computer network , meteorology , economics , economic growth