Search for dissertations about: "Monte- Carlo method"
Showing result 16 - 20 of 414 swedish dissertations containing the words Monte- Carlo method.
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16. Protein aggregation: Computational modeling and Monte Carlo algorithm development
Abstract : Although organisms have evolved sophisticated cellular mechanisms for regulating their various protein networks, proteins sometimes start to clump together in an uncontrolled way. The aggregation of proteins has been associated with a range of serious diseases. READ MORE
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17. A Cubature Method for Solving Stochastic Equations : A Modern Monte-Carlo Approach with Applications to Financial Market
Abstract : Before the financial crisis started in 2007, there were no significant spreads between the forward rate curves constructed either using the market quotes of overnight indexed swaps or those of forward rate agreements. After the crisis, we observe such spreads in the form of forward spread curves. READ MORE
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18. Variance reduction methods for numerical solution of plasma kinetic diffusion
Abstract : Performing detailed simulations of plasma kinetic diffusion is a challenging task and currently requires the largest computational facilities in the world. The reason for this is that, the physics in a confined heated plasma occur on a broad range of temporal and spatial scales. READ MORE
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19. Theoretical Studies Using Simple Ionic Liquid Models
Abstract : Room Temperature Ionic Liquids (RTILs) are organic salts that melt below 100 degrees Celsius. The advantages of RTILs, such as high ionic concentrations and low melting points, promote several potential applications. For instance, RTILs could be utilized in manufacturing energy storage devices, and as efficient solvents. READ MORE
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20. Markov Chain Monte Carlo Methods and Applications in Neuroscience
Abstract : An important task in brain modeling is that of estimating model parameters and quantifying their uncertainty. In this thesis we tackle this problem from a Bayesian perspective: we use experimental data to update the prior information about model parameters, in order to obtain their posterior distribution. READ MORE