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Showing 1 to 2 of 2 for “"regularized least squares problem"”.

  1. Compound-Gaussian-regularized inverse problems: theory, algorithms, and neural networks

    Lyons, Carter, author, Cheney, Margaret, advisor, Raj, Raghu G., advisor, Azimi, Mahmood, committee member, King, Emily, committee member, Mueller, Jennifer, committee memberColorado State University. Libraries2024

    Linear inverse problems are frequently encountered in a variety of applications including compressive sensing, radar, sonar, medical, and tomographic imaging. Model-based and data-driven methods are two prevalent classes of approaches used to solve linear inverse problems. Model-based methods …

    colostate Repository record

  2. The Sherman Morrison Iteration

    Slagel, Joseph TannerVirginia Tech2015

    … Morrison iteration method is developed to solve regularized least squares problems. Notions of pivoting and splitting are deliberated on to make the method more robust. The Sherman Morrison iteration method is shown to be effective when dealing with an extremely underdetermined least squares …

    vt Repository record