Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Time Domain Decomposition"”.
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ADMM Based Methods for Time-Domain Decomposition Formulations of Optimal Control Problems
… method of multipliers (ADMM)-based methods for time-domain decomposition (TDD) formulations of linear-quadratic partial differential equation (PDE)-constrained optimization problems. The solution of such optimization problems is computing time and memory intensive. TDD formulations split the …
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The swept rule for breaking the latency barrier in time-advancing PDEs
… a method to accelerate parallel, explicit time integration of unsteady PDEs. The method is motivated by our observation that network latency, not bandwidth or computing power, often limits how fast PDEs can be solved in parallel. The method is called the swept rule of space-time domain …
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Método de decomposição de domínios de múltiplos passos de tempo de Dirichlet-Neumann aplicado à injeção de polímeros em meios porosos
… For the computational model, we propose a space-time domain decomposition method based on a predictor-corrector strategy. The resulting system of equations is discretized by the finite element method and linearized by the Newton-Raphson method. Additionally, we apply a consistent flux method to …
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MATLAB implementation of an operational modal analysis technique for vibration-based structural health monitoring
… of operational modal analysis technique called time domain decomposition (TDD) based on [15] was implemented. The MATLAB TDD implementation was applied to the dynamic responses from two finite element models of simply-supported beams and their modal frequencies and shapes were extracted. The …
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A Parallel-In-Time Gradient-Type Method For Optimal Control Problems
… thesis proposes and analyzes a new parallel-in-time gradient-type method for time-dependent optimal control problems. When the classical gradient method is applied to time-dependent optimal control problems, each iteration requires the forward solution of the state equations followed by the …
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Multilevel-in-Time Methods for Optimal Control of PDEs and Training of Recurrent Neural Networks
This thesis develops and analyzes “time”-parallel methods for two problem classes: Optimality systems arising in discretized linear-quadratic Partial Differential Equation (PDE)-constrained optimization problems and Recurrent Neural Network (RNN) training problems. While these two problem classes …