Sökning: "Monte-Carlo methods"

Visar resultat 1 - 5 av 306 avhandlingar innehållade orden Monte-Carlo methods.

  1. 1. Development of New Monte Carlo Methods in Reactor Physics Criticality, Non-Linear Steady-State and Burnup Problems

    Detta är en avhandling från Stockholm : Universitetsservice US AB

    Författare :Jan Dufek; KTH.; [2009]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Monte Carlo; reactor physics; fission source; inactive cycles; convergence; burnup; steady-state; criticality; eigenvalue; NATURAL SCIENCES Physics Nuclear physics; NATURVETENSKAP Fysik Kärnfysik;

    Sammanfattning : The Monte Carlo method is, practically, the only approach capable of giving detail insight into complex neutron transport problems. In reactor physics, the method has been used mainly for determining the keff in criticality calculations. LÄS MER

  2. 2. Accelerating Monte Carlo methods for Bayesian inference in dynamical models

    Detta är en avhandling från Linköping : Linköping University Electronic Press

    Författare :Johan Dahlin; Linköpings universitet.; Linköpings universitet.; [2016]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Computational statistics; Monte Carlo; Markov chains; Particle filters; Machine learning; Bayesian optimisation; Approximate Bayesian Computations; Gaussian processes; Particle Metropolis-Hastings; Approximate inference; Pseudo-marginal methods;

    Sammanfattning : Making decisions and predictions from noisy observations are two important and challenging problems in many areas of society. Some examples of applications are recommendation systems for online shopping and streaming services, connecting genes with certain diseases and modelling climate change. LÄS MER

  3. 3. Machine learning using approximate inference Variational and sequential Monte Carlo methods

    Detta är en avhandling från Linköping : Linköping University Electronic Press

    Författare :Christian Andersson Naesseth; Linköpings universitet.; Linköpings universitet.; [2018]
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Sammanfattning : Automatic decision making and pattern recognition under uncertainty are difficult tasks that are ubiquitous in our everyday life. The systems we design, and technology we develop, requires us to coherently represent and work with uncertainty in data. LÄS MER

  4. 4. Hierarchical Variance Reduction Techniques for Monte Carlo Rendering

    Detta är en avhandling från Linköping : Linköping University Electronic Press

    Författare :Petrik Clarberg; Lunds universitet.; Lund University.; [2012]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; computer graphics; Monte Carlo methods; importance sampling; hierarchical techniques; rendering;

    Sammanfattning : Ever since the first three-dimensional computer graphics appeared half a century ago, the goal has been to model and simulate how light interacts with materials and objects to form an image. The ultimate goal is photorealistic rendering, where the created images reach a level of accuracy that makes them indistinguishable from photographs of the real world. LÄS MER

  5. 5. Optimisation of environmental gamma spectrometry using Monte Carlo methods

    Detta är en avhandling från Uppsala : Acta Universitatis Upsaliensis

    Författare :Francisco Javier Hernández Suárez; Uppsala universitet.; [2002]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Physics; Gamma spectrometry; Environmental multitracers; Monte Carlo simulations; HPGe detectors; Efficiency calibration; Self-absorption corrections.; Fysik; NATURAL SCIENCES Physics; NATURVETENSKAP Fysik; Fysik; Physics;

    Sammanfattning : Dissertation in Environmental Physics to be publicly examined in Häggsalen (Ångström Laboratory), Uppsala University, on Friday, November 8, 2002 at 10:00 am for the degree of doctor of philosophy in Physics. The examination will be conducted in English. LÄS MER