Sökning: "Henrik Holst"

Hittade 4 avhandlingar innehållade orden Henrik Holst.

  1. 1. Multiscale Methods for Wave Propagation Problems

    Författare :Henrik Holst; Björn Engquist; Olof Runborg; Assyr Abdulle; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Simulations of wave propagation in heterogeneous media and at high frequencies are important in many applications such as seismic-, {electro-magnetic-,} acoustic-, fluid flow problems and others. These are classical multiscale problems and often too computationally expensive for direct numerical simulation. LÄS MER

  3. 2. Multi-scale methods for wave propagation in heterogeneous media

    Författare :Henrik Holst; Bjorn Engquist; Nils Svanstedt; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Numerical analysis; Numerisk analys;

    Sammanfattning : Multi-scale wave propagation problems are computationally costly to    solve by traditional techniques because the smallest scales must be    represented over a domain determined by the largest scales of the    problem.  We have developed new numerical methods for multi-scale wave    propagation in the framework of heterogeneous multi-scale methods. LÄS MER

  4. 3. Generalized Pólya Urns via Stochastic Approximation

    Författare :Henrik Renlund; Sven Erick Alm; Svante Janson; Lars Holst; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; stochastic approximation; unstable equilibrium; stable equilibrium; touchpoint; generalized pólya urns; MATHEMATICS; MATEMATIK; Mathematics; Matematik;

    Sammanfattning : .... LÄS MER

  5. 4. Scalable Machine Learning through Approximation and Distributed Computing

    Författare :Theodore Vasiloudis; Anders Holst; Henrik Boström; Seif Haridi; Daniel Gillblad; Indre Žliobaitė; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Online Learning; Distributed Computing; Graph Similarity; Decision Trees; Gradient Boosting;

    Sammanfattning : Machine learning algorithms are now being deployed in practically all areas of our lives. Part of this success can be attributed to the ability to learn complex representations from massive datasets. LÄS MER