Dissertation/Thesis Abstract

Differentiable Boundary Value Problem Solver
by Lucas, Houston C., M.S., University of Nevada, Reno, 2020, 52; 27962980
Abstract (Summary)

This thesis proposes a differentiable architecture for solving boundary value problems. That framework is then verified on several problems, including problems related to autonomous vehicle control. It is then shown that the proposed architecture can have greatly reduced convergence times by two methods of priming the solver. Then a method for optimizing among solutions to a boundary value problem for a loss function is proposed. This optimization method is then used to optimize the solution to an autonomous vehicle boundary value problem to maximize passenger comfort. The proposed optimization method is also shown to benefit from the priming effect.

Indexing (document details)
Advisor: Kelley, Richard
Commitee: Nicolescu, Monica, van Breugel, Floris
School: University of Nevada, Reno
Department: Computer Science
School Location: United States -- Nevada
Source: MAI 81/12(E), Masters Abstracts International
Subjects: Computer science, Robotics
Keywords: Autonomous vehicles, Boundary value problem, Differential equations, Optimization
Publication Number: 27962980
ISBN: 9798641081212
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