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Full-Text Articles in Physical Sciences and Mathematics
Pymoocfd - A Multi-Objective Optimization Framework For Cfd, George Martin Cunningham Love
Pymoocfd - A Multi-Objective Optimization Framework For Cfd, George Martin Cunningham Love
Graduate College Dissertations and Theses
Modern computational resource have solidified the use of computer modeling as an integral part of the engineering design process. This is particularly impressive when it comes to high-dimensional models such as computational fluid dynamics (CFD) models. CFD models are now capable of producing results with a level of confidence that would previously have required physical experimentation. Simultaneously, the development of machine learning techniques and algorithms has increased exponentially in recent years. This acceleration is also due to the widespread availability of modern computational resources. Thus far, the cross-over between these fields has been mostly focused on computer models with low …
Some Results On A Class Of Functional Optimization Problems, David Rushing Dewhurst
Some Results On A Class Of Functional Optimization Problems, David Rushing Dewhurst
Graduate College Dissertations and Theses
We first describe a general class of optimization problems that describe many natu- ral, economic, and statistical phenomena. After noting the existence of a conserved quantity in a transformed coordinate system, we outline several instances of these problems in statistical physics, facility allocation, and machine learning. A dynamic description and statement of a partial inverse problem follow. When attempting to optimize the state of a system governed by the generalized equipartitioning princi- ple, it is vital to understand the nature of the governing probability distribution. We show that optimiziation for the incorrect probability distribution can have catas- trophic results, e.g., …