Search for dissertations about: "stochastic approximation algorithm"

Showing result 16 - 20 of 37 swedish dissertations containing the words stochastic approximation algorithm.

  2. 16. The Diversity and Unity of Reactor Noise Theory

    Author : Zhifeng Kuang; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; neutron fluctuations; master equations; correlations; stochastic processes; the Langevin technique; power spectra; reactor noise; covariances;

    Abstract : The study of reactor noise theory concerns questions about cause and effect relationships, and the utilisation of random noise in nuclear reactor systems. The diversity of reactor noise theory arises from the variety of noise sources, the various mathematical treatments applied and the various practical purposes. READ MORE

  4. 17. Toward Robust Optimization of Adaptive Radiation Therapy

    Author : Michelle Böck; Anders Forsgren; Minsun Kim; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; optimization; adaptive radiation therapy; radiation therapy treatment planning; uncertainty; robust optimization; stochastic programming; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics;

    Abstract : Adaptive radiation therapy is an evolving cancer treatment approach which relies on adapting the treatment plan in response to patient-specific interfractional geometric variations occurring during the fractionated treatment. If those variations are not addressed through adaptive replanning, the resulting treatment quality may be compromised. READ MORE

  5. 18. Adaptivity for Stochastic and Partial Differential Equations with Applications to Phase Transformations

    Author : Erik von Schwerin; Anders Szepessy; Desmond Higham; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Numerical analysis; Numerisk analys;

    Abstract : his work is concentrated on efforts to efficiently compute properties of systems, modelled by differential equations, involving multiple scales. Goal oriented adaptivity is the common approach to all the treated problems. READ MORE

  6. 19. Simulation-based Inference : From Approximate Bayesian Computation and Particle Methods to Neural Density Estimation

    Author : Samuel Wiqvist; Matematisk statistik; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Bayesian statistics; computational statistics; deep learning; mixed­-effects; sequential Monte Carlo; stochastic dif­ferential equations;

    Abstract : This doctoral thesis in computational statistics utilizes both Monte Carlo methods(approximate Bayesian computation and sequential Monte Carlo) and machine­-learning methods (deep learning and normalizing flows) to develop novel algorithms for infer­ence in implicit Bayesian models. Implicit models are those for which calculating the likelihood function is very challenging (and often impossible), but model simulation is feasible. READ MORE

  7. 20. Topics on Large Deviations in Artificial Intelligence

    Author : Adam Lindhe; Henrik Hult; Jimmy Olsson; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Mathematical Statistics; Matematisk statistik;

    Abstract : Artificial intelligence has become one of the most important fields of study during the last decade. Applications include medical sciences, autonomous vehicles, finance and everyday life. Therefore the analysis of convergence and stability of these algorithms is of utmost importance. READ MORE