Sökning: "Monte Carlo Methods"

Visar resultat 1 - 5 av 318 uppsatser innehållade orden Monte Carlo Methods.

  1. 1. Exploring the Impact of Pseudo and Quasi Random Number Generators on Monte Carlo Integration of the Multivariate Normal Distribution

    Kandidat-uppsats, Lunds universitet/Statistiska institutionen

    Författare :Marcus Stolz; Jonathan Christopher; [2024]
    Nyckelord :Monte Carlo integration; Quasi monte carlo integration; Random number generation; Mathematics and Statistics;

    Sammanfattning : This thesis examines the effects of pseudo and quasi-random number generators on the accuracy and efficiency of Monte Carlo Integration in the case of the multivariate normal distribution. The study compares the performance of the Mersenne Twister (a pseudo-random number generator) with Sobol and Halton sequences (quasi-random number generators). LÄS MER

  3. 2. Using search based methods for beamforming

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Adam Bergman Karlsson; [2024]
    Nyckelord :Beamforming; Artificial Intelligence; AlphaZero; Radio Resource Management; Monte Carlo Tree Search;

    Sammanfattning : In accommodating the growing global demand for wireless, Multi-User Multiple-Input and Multiple-Output (MU-MIMO) systems have been identified as the key technology. In such systems, a transmitting basestation serves several users simultaneously, increasing the network capacity. LÄS MER

  4. 3. Pricing of FX products - list rates

    Master-uppsats, Uppsala universitet/Sannolikhetsteori och kombinatorik

    Författare :Emma Edvardsson; [2023]
    Nyckelord :;

    Sammanfattning : List rates is a product that provides clients with a fixed exchange rate for a fixed period of time, varying from a few minutes up to a few days. During this period, the customer can exercise trading at the fixed exchange rate multiple times. The aim of this study is to find a pricing model for List rates. LÄS MER

  5. 4. Branching Out with Mixtures: Phylogenetic Inference That’s Not Afraid of a Little Uncertainty

    Master-uppsats, KTH/Matematisk statistik

    Författare :Ricky Molén; [2023]
    Nyckelord :Phylogeny; Bayesian analysis; Markov chain Monte Carlo; Variational inference; Mixture of proposal distributions; Fylogeni; Bayesiansk analys; Markov Chain Monte Carlo; Variationsinferens; Mixturer av förslagsfördelningar;

    Sammanfattning : Phylogeny, the study of evolutionary relationships among species and other taxa, plays a crucial role in understanding the history of life. Bayesian analysis using Markov chain Monte Carlo (MCMC) is a widely used approach for inferring phylogenetic trees, but it suffers from slow convergence in higher dimensions and is slow to converge. LÄS MER

  7. 5. Evaluating image analysis techniques for ultrasound optical tomography in breast tissue

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Henrik von Friesendorff; [2023]
    Nyckelord :ultrasound optical tomography; Monte Carlo light simulation; image reconstruction; Technology and Engineering;

    Sammanfattning : Breast cancer is the most commonly diagnosed cancer in the world today and early detection is crucial to minimize the mortality. ”Ultrasound optical tomography” (UOT) is a method under development for deep tissue imaging. LÄS MER