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 14 of 14 for “"Generic Algorithm"”.
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Order computations in generic groups
… of computing the order of an element in a generic group. The two standard algorithms, Pollard's rho method and Shanks' baby-steps giant-steps technique, both use [theta](N^1/2) group operations to compute abs([alpha])=N. A lower bound of [omega](N^1/2) has been conjectured. We disprove this …
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Parallel multigrid for large-scale least squares sensitivity
… Squares Sensitivity (LSS) method. A multigrid algorithm is developed that can, in parallel, solve the discrete LSS system. This generic algorithm can be applied to ordinary differential equations such as the Lorenz System. Additionally, this parallel method enables the estimation of climate …
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Strategies and tools for the exploitation of massively parallel computer systems
… stage of the parallelisation. This required a generic algorithm that made use of many of the symbolic algebra tests and symbolic variable manipulation routines within the tools. The automatic generation of overlapped communications was applied to the four codes previously parallelised as well …
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Performance Modeling of Single Processor and Multi-Processor Computer Architectures
… configuration for a specific application or a generic algorithm is a difficult task. The complexity involved in today's computer architectures and systems makes it more difficult and expensive to easily and economically implement and test full functional prototypes of computer architectures. …
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Generic Adaptive Handoff Algorithms Using Fuzzy Logic and Neural Networks
Efficient handoff algorithms cost-effectively enhance the capacity and Quality of Service (QoS) of cellular systems. This research presents novel approaches for the design of high performance handoff algorithms that exploit attractive features of several existing algorithms, provide adaptation to …
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A methodology for evaluating energy efficient lighting technologies for their performance, power quality and environmental impacts
… viewpoints than when tested individually. A generic algorithm was developed that can help to select certain energy efficient lighting technologies and will minimize the harmonic distortion level in the building. Results from the algorithm were validated on a building load model to test the …
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Maximum Entropy Optimization: a General Approach to Study Ordered and Disordered Proteins Reveals Key Features of Protein Phase Separation
… energy model (AWSEM). In chapter 3, we present a generic algorithm to improve the accuracy of coarse-grained IDP models using a diverse set of experimental measurements. It combines maximum entropy optimization and least squares regression to systematically adjust model parameters and improve the …
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A primal-dual conjugate subgradient algorithm for large- scale/specially structured linear programming problems
… with a primal-dual conjugate subgradient-based algorithm for solving large-scale and/or specially structured linear programming problems. The proposed algorithm coordinates a Lagrangian dual function and a primal penalty function which satisfies a flexible set of specified properties, in order …
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Toward Improved Computational Tools for Electronic Transport Analysis and their use in the Development of Materials for Energy Applications
… is desirable to develop accurate post-processing algorithms that can efficiently manipulate electronic structure data to produce theoretical predictions of experimentally observable quantities. To address this need, the work of this dissertation has been to expand existing \textit{ab initio} …
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Discrete Transition System Model and Verification for Mitochondrially Mediated Apoptotic Signaling Pathways
… (SAT-based) and with guided stimulation (Genetic Algorithm), we can further extract the properties and behaviors of the system. Furthermore, our model allows us to conduct cause-effect analysis of the apoptosis signaling pathways. By constructing single- and double-fault models, we are able to …
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Providing resilient quality of service connections in provider-based virtual private networks
… Given our framework we first propose a new generic algorithm that decomposes the problem into subproblems where known algorithms can be applied. Then we propose two new linear programming (LP) formulations that return the two paths and their respective bandwidths such that they have the …
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Generic Flow Algorithm for Analysis of Interdependent Multi-Domain Distributed Network Systems
… object-oriented modeling concepts to model algorithms in a generic manner for solving interconnected, multi-domain problems. This work is based on an extension of Graph Trace Analysis (GTA) which was originally developed in the 1990's for power distribution system design. Because of GTA's …
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Performance-based evaluation of unbound aggregates affecting mechanistic response and performance of flexible pavements
… into three sections. First, statistical and generic algorithm (GA) based models are developed to estimate MR and shear strength properties for performance prediction using aggregate properties. The MR sensitivities are assessed using both Monte Carlo type simulation and First-order …
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Scalable Byzantine State Machine Replication: Designs, Techniques, and Implementations
… in many production systems. Bumblebee provides a Generic Algorithm that can represent protocols in both CFT and hybrid fault models, thus allowing easy construction of hybrid protocols using CFT protocols as baselines. The dissertation constructs hybrid instantiations of CFT protocols including …