Sökning: "differential sensitivity analysis"
Visar resultat 1 - 5 av 60 avhandlingar innehållade orden differential sensitivity analysis.
1. A sensitivity analysis of the Winter-Kennedy method
Sammanfattning : 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. LÄS MER
2. Approaches to differential gene expression analysis in atherosclerosis
Sammanfattning : 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. LÄS MER
3. The Skorohod problem and weak approximation of stochastic differential equations in time-dependent domains
Sammanfattning : 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. LÄS MER
4. Language-Based Differential Privacy with Accuracy Estimations and Sensitivity Analyses
Sammanfattning : 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. LÄS MER
5. Convergence and stability analysis of stochastic optimization algorithms
Sammanfattning : 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. LÄS MER