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.
Results
Showing 1 to 14 of 14 for “"Monte Carlo integration"”.
-
Monte Carlo integration in discrete undirected probabilistic models
… work in and contributions to the field of Monte Carlo sampling for undirected graphical models, a class of statistical model commonly used in machine learning, computer vision, and spatial statistics; the aim is to be able to use the methodology and resultant samples to estimate integrals …
-
Importance Resampling for Global Illumination
This thesis develops a generalized form of Monte Carlo integration called Resampled Importance Sampling. It is based on the importance resampling sample generation technique. Resampled Importance Sampling can lead to significant variance reduction over standard Monte Carlo integration for common …
-
Monte Carlo Studies of Momentum Distributions and Longitudinal Response Functions of a = 3 and 4 Nuclei
… obtained with this method are reported. The Monte Carlo integration technique, also briefly reviewed, is used to evaluate various expectation values, and is generalized to calculate quantities such as momentum distributions and transition probabilities.
-
An embedded domain specific sampling language for Monte Carlo rendering
Implementing Monte Carlo integration requires significant domain expertise. While simple algorithms, such as unidirectional path tracing, are relatively forgiving, more complex algorithms, such as bidirectional path tracing or Metropolis methods, are notoriously difficult to implement correctly. We …
-
Efficient numerical methods for solving the Boltzmann equation for low-speed flows
… equation is performed using a quasi-random Monte Carlo integration approach for faster convergence. In addition, interpolation is used to reduce the effect of discretization errors. We find that cubic interpolation leads to accurate solutions which exhibit excellent conservation properties, …
-
Techniques for stochastic simulation of complex electromagnetic and circuit systems with uncertainties
… results are shown comparing the new solver to Monte Carlo techniques using a commercial circuit solver. The simulator is then used to simulate several transmission line problems, including single- and multi-conductor, crosstalk, and coupled-line on a printed circuit board substrate with …
-
Lattice QCD determination of weak decays of B mesons
… in future calculations. This is done using Monte-Carlo integration to evaluate integrals from diagrams generated using automated lattice perturbation theory in background field gauge in order to match the coefficients of the effective action between the lattice and the continuum.
-
Monte Carlo approaches to the protein folding problem
… volume of a polymer is defined and calculated by Monte Carlo integration. The excluded volume for a polymer with another polymer of the same length scales as N1.74. These results agree with theoretical predictions about the behavior of polymers in the dilute solution regime. The conformation of a …
-
Estimation of astronomical images from the bispectrum of atmospherically distorted infrared data.
… are developed. The models are evaluated by Monte Carlo integration and the results are compared to sample estimates of the same quantities obtained from simulated data. For comparison, the same sample quantities are computed from observed data. The bispectrum is shown to be useful for …
-
Monte Carlo studies of momentum distributions and longitudinal response functions of A=3 and 4 nuclei
… obtained with this method are reported. The Monte Carlo integration technique, also briefly reviewed, is used to evaluate various expectation values, and is generalized to calculate quantities such as momentum distributions and transition probabilities. The longitudinal structure function and …
-
Statistical mechanical theory of equilibrium structure and miscibility of polymer nanocomposites: effects of polymer chemical heterogeneity and architecture, and nanoparticle surface corrugation and softness
… with surface fluctuations and fuzziness. Monte Carlo integration and other computational techniques have been developed to compute the effective interactions between such particles. The morphologically diverse particles introduce additional length scales, making the physics non-monotonic, …
-
Essays on Model Selection Uncertainty and Model Averaging: Computational and Empirical Work with Beta Regression, Multiple Linear Regression with ARMA Innovations, and the Minimum Description Length Principle
… from the number of estimable parameters. Monte Carlo integration with importance sampling was shown to help approximate the one-part criterion. Simulations assessed model selection under various beta regression settings for the two-part criterion. Results indicated that the two-part …
-
Advancements in Monte Carlo many body methods
… electron binding energies are obtained through Monte Carlo integration. The motivation to create stochastic implementations of MBPT and MBGF was to prioritize parallelizability, as Monte Carlo integration is trivially parallel, so that modern supercomputer may be used effectively in the …
-
The power of random information for numerical approximation and integration
… of random information for approximation and integration problems. In the first problem considered, information given by linear functionals is used to recover vectors, in particular from generalized ellipsoids. This is related to the approximation of diagonal operators which are important …