Sökning: "Variational method"

Visar resultat 36 - 40 av 84 avhandlingar innehållade orden Variational method.

  1. 36. Numerical methods for the Navier–Stokes equations applied to turbulent flow and to multi-phase flow

    Författare :Martin Kronbichler; Gunilla Kreiss; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Beräkningsvetenskap med inriktning mot numerisk analys; Scientific Computing with specialization in Numerical Analysis;

    Sammanfattning : This thesis discusses the numerical approximation of flow problems, in particular the large eddy simulation of turbulent flow and the simulation of laminar immiscible two-phase flow. The computations for both applications are performed with a coupled solution approach of the Navier-Stokes equations discretized with the finite element method. LÄS MER

  3. 37. Thermodynamic Studies of Macromolecular Models

    Författare :Ola Sommelius; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; classical mechanics; Mathematical and general theoretical physics; termodynamik; klassisk mekanik; Matematisk och allmän teoretisk fysik; statistisk fysik; gravitation; kvantmekanik; relativitet; quantum mechanics; relativity; statistical physics; thermodynamics; Fysicumarkivet A:1997:Sommelius;

    Sammanfattning : The thermodynamic properties of single chain polyelectrolyte and protein models are studied using Monte Carlo simulations and (for the polyelectrolyte models) variational calculations and high- and low-temperature expansions. A variational method is used for minimizing Lennard-Jones energies and for estimating end-to-end distances for a rigid Coulomb chain at finite temperatures. LÄS MER

  4. 38. Topics on Generative Models in Machine Learning

    Författare :Carl Ringqvist; Henrik Hult; Thomas Schön; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Latent variable models have been extensively studied within the field of machine learning in recent years. Especially in combination with neural networks and training through back propagation, they have proven successful for a variety of tasks; notably sample gener- ation, clustering, disentanglement and interpolation. LÄS MER

  5. 39. Strongly Correlated Models in One Dimension from a Density Matrix Renormalization Group Perspective

    Författare :Stefan Rommer; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; matrix product states; impurities; density matrix renormalization group; Heisenberg model; spin chain; DMRG;

    Sammanfattning : The density matrix renormalization group (DMRG) is a numerical method for studying low dimensional strongly correlated models. The study of these models is one of the most active areas of condensed matter physics today and has been spurred not only by the discovery of high temperature superconductivity but also by experiments on new compounds. LÄS MER

  7. 40. Contributions to the Study of Nonlinear Optics

    Författare :Mats Desaix; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Sammanfattning : Nonlinear optics, the study of how high intensity light propagates through and interacts with matter, is a subject which is rich in scientific problems and offers many technologically important applications. In this thesis, a number of physical and mathematical problems concerning nonlinear Kerr media are addressed. LÄS MER