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 20 of 1067 for “"minimization"”.
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Subgradient methods for convex minimization
… problems arising in various applications require minimization of an objective cost function that is convex but not differentiable. Such a minimization arises, for example, in model construction, system identification, neural networks, pattern classification, and various assignment, scheduling, and …
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Image reconstruction through polyfiltered variation minimization
… sparse signal reconstruction through function minimization make it an attractive approach for recreating the missing frequency data. It is the aim of this thesis to generalize the reconstruction technique known as Total Variation (TV) minimization from a signal processing perspective and to …
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Actinide minimization using pressurized water reactors
Transuranic actinides dominate the long-term radiotoxity in spent LWR fuel. In an open fuel cycle, they impose a long-term burden on geologic repositories. Transmuting these materials in reactor systems is one way to ease the long-term burden on the repository. Examining the maximum possible …
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Staff minimization strategy for micro-reactors
The means to achieve decarbonization of all economic sectors are an open question of difficult resolution. For example, remote communities and industrial or mining activities detached from the main electric grid heavily rely on fossil fuels, diesel fuel in particular, for heat and power production. …
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Quadratic minimization and least distance programming
Quadratic minimization problems constitute a significant and important subset of optimization problems. Research has shown that a convex quadratic programming problem can be reduced to a least distance programming problem using a unique and non-singular "linear least distance transformation." A …
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Hazardous waste minimization in the semiconductor industry.
… manufacturing industry, and (b) explain how the minimization of hazardous waste can provide both economic benefits and reduced liability for this industry. Two important aspects of all waste minimization studies are the knowledge of quantity and characteristics of the waste streams in order to …
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Contention and congestion minimization in OBS networks
Submitted in partial fulfilment for the Masters in Engineering Degree: Electrical Engineering,, Durban University of Technology, Durban, South Africa, 2017.
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Composite Minimization: Proximity Algorithms and Their Applications
… has three main parts. In part 1, we consider the minimization</p> <p>of functions that are the sum of the compositions of prox-friendly functions with</p> <p>matrices. We characterize the solutions to the associated optimization problems as</p> <p>the solutions of fixed point equations that are …
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Cost Minimization for Hot Gas Defrost System
Frost accumulation on evaporator coils has been a serious problem that decreases the efficiency of refrigeration systems. Many defrost methods have been used and hot gas defrost is the most common for industrial refrigeration applications. However, it is not a simple task to run an efficient hot …
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Random projection methods for stochastic convex minimization
… of this thesis is to solve a stochastic convex minimization problem over an arbitrary family of nonempty, closed and convex sets. The problem has random features. Gradient or subgradient of objective function carries stochastic errors. Number of constraint sets can be extensive or infinitely …
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Deep generative models via explicit Wasserstein minimization
This thesis provides a procedure to fit generative networks to target distributions, with the goal of a small Wasserstein distance (or other optimal transport costs). The approach is based on two principles: (a) if the source randomness of the network is a continuous distribution (the …
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Decision uncertainty minimization and autonomous information gathering
… new algorithms for decision uncertainty minimization (DUM) and representational uncertainty minimization (RUM). Finally, we demonstrate the utility of this approach to real-world sensing problems, including bathymetric mapping and disaster relief. We also examine its potential in space …
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Portfolio risk minimization under departures from normality
… statistically sound approaches to portfolio risk minimization. When returns exhibit asymmetry, we propose using a quantile-based measure of risk which we call shortfall. Shortfall is related to Value-at-Risk and Conditional Value-at-Risk, and can be tuned to capture tail risk. We formulate the …
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Area minimization techniques of single-output functions
Thesis: M.S., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 1991
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Acoustic minimization of Ocean Twilight Zone Vehicle, Mesobot
The OTZ is defined as the region of the water column between 200 and 1,000 meters in depth. It plays a vital role in the global carbon cycle, pushing carbon from the surface layer into the deep ocean. It has a very diverse population of fauna, known and unknown, that migrate up and down the water …
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Subdominance Minimization: A Satisficing Perspective on Imitation Learning
… We leverage both offline and online subdominance minimization to focus policy learning on parts of the demonstrator's trajectories which are hardest to imitate. In the domain of offline reinforcement learning, we present another approach for training decision transformers offline via subdominance …
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Completion Delay Minimization for Instantly Decodable Network Coding
… reduction, we formulate the completion delay minimization problem, for the cases of intermittent and lossy feedback, as extended SSP and partially observable SSP problems, respectively. We show that these new formulations have the same structure of the original SSP. We thus extend the designed …
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