Search for dissertations about: "differential sensitivity analysis"
Showing result 1 - 5 of 60 swedish dissertations containing the words differential sensitivity analysis.
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1. A sensitivity analysis of the Winter-Kennedy method
Abstract : Hydropower is among the lowest-cost electrical energy sources due to its long lifespan and lower operation and maintenance cost. The hydro-mechanical components of hydropower plants generally last about four to five decades, then they are either overhauled or replaced. READ MORE
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2. Approaches to differential gene expression analysis in atherosclerosis
Abstract : Todays rapid development of powerful tools for geneexpression analysis provides unprecedented resources forelucidating complex molecular events.The objective of this workhas been to apply, combine andevaluate tools for analysis of differential gene expressionusing atherosclerosis as a model system. READ MORE
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3. The Skorohod problem and weak approximation of stochastic differential equations in time-dependent domains
Abstract : This thesis consists of a summary and four scientific articles. All four articles consider various aspects of stochastic differential equations and the purpose of the summary is to provide an introduction to this subject and to supply the notions required in order to fully understand the articles. READ MORE
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4. Language-Based Differential Privacy with Accuracy Estimations and Sensitivity Analyses
Abstract : This thesis focuses on the development of programming frameworks to enforce, by construction, desirable properties of software systems. Particularly, we are interested in enforcing differential privacy -- a mathematical notion of data privacy -- while statically reasoning about the accuracy of computations, along with deriving the sensitivity of arbitrary functions to further strengthen the expressiveness of these systems. READ MORE
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5. Convergence and stability analysis of stochastic optimization algorithms
Abstract : This thesis is concerned with stochastic optimization methods. The pioneering work in the field is the article “A stochastic approximation algorithm” by Robbins and Monro [1], in which they proposed the stochastic gradient descent; a stochastic version of the classical gradient descent algorithm. READ MORE