Sökning: "Monte Carlo algorithm"

Visar resultat 1 - 5 av 167 avhandlingar innehållade orden Monte Carlo algorithm.

1. 1. Semi Markov chain Monte Carlo

   Författare :Håkan Ljung; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Mathematics; Adaptive simulation; error-in-the-variables; Kullback-Leibler divergence; Markov chain simulation; Markov chain Monte Carlo; semi-regenerative; MATEMATIK; MATHEMATICS; MATEMATIK; matematisk statistik; Mathematical Statistics;

   Sammanfattning : The first paper introduces a new simulation technique, called semi Markov chain Monte Carlo, suitable for estimating the expectation of a fixed function over a distribution π, Eπf(χ). Given a Markov chain with stationary distribution p, for example a Markov chain corresponding to a Markov chain Monte Carlo algorithm, an embedded Markov renewal process is used to divide the trajectory into different parts. LÄS MER

3. 2. Protein aggregation: Computational modeling and Monte Carlo algorithm development

   Författare :Sigurdur Jonsson; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Monte Carlo simulations; protein aggregation; disordered proteins; Fysicumarkivet A:2014:Jonsson;

   Sammanfattning : 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. LÄS MER

4. 3. Accelerating Monte Carlo methods for Bayesian inference in dynamical models

   Författare :Johan Dahlin; Thomas B. Schön; Fredrik Lindsten; Richard Everitt; Linköpings universitet; []
   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

5. 4. Phase transitions in novel superfluids and systems with correlated disorder

   Författare :Hannes Meier; Mats Wallin; Asle Sudbø; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; condensed matter physics; phase transitions; critical phenomena; spin models; quantum phase transitions; quantum fluids; superfluidity; superconductivity; disordered systems; Bose glass; dirty bosons; vortex pinning; statistical mechanics; Monte Carlo simulation; Wolff algorithm; classical worm algorithm; Wang-Landau algorithm; Fysik; Physics;

   Sammanfattning : Condensed matter systems undergoing phase transitions rarely allow exact solutions. The presence of disorder renders the situation  even worse but collective Monte Carlo methods and parallel algorithms allow numerical descriptions. LÄS MER

7. 5. Monte Carlo Simulations of the Equilibrium Properties of Semi-stiff Polymer Chains : Efficient Sampling from Compact to Extended Structures

   Författare :Alexey Siretskiy; Christer Elvingson; Alexander Lyubartsev; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; polymers; equilibrium properties; statistical mechanics; computer simulation; Monte Carlo; Wang-Landau; compact structures; parallel computations; Physical chemistry; Fysikalisk kemi; Chemistry with specialization in Physical Chemistry; Kemi med inriktning mot fysikalisk kemi;

   Sammanfattning : Polymers is a class of molecules which can have many different structures due to a large number of degrees of freedom. Many biopolymers, e.g. DNA, but also synthetic macromolecules have special structural features due to their backbone stiffness. LÄS MER