Sökning: "Wang-Landau algorithm"

Hittade 3 avhandlingar innehållade orden Wang-Landau algorithm.

  1. 1. 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

  3. 2. 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

  4. 3. Topics on Large Deviations in Artificial Intelligence

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

    Sammanfattning : 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. LÄS MER