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Visar resultat 6 - 10 av 150 avhandlingar som matchar ovanstående sökkriterier.

  1. 6. Seismic tomography : Algorithms and applications

    Författare :Zhengsheng Yao; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Earth sciences; Geovetenskap; Earth sciences; Geovetenskap; Geophysics Specialized In Seismology; geofysik; med inriktning mot seismologi;

    Sammanfattning : A preferred algorithm for seismic tomography needs to have capabilities including computational efficiency, minimal computer memory requirements, easy regularization and nonuniqueness analysis. In this thesis, regularised recursive least squares for seismic tomography is developed. LÄS MER

  3. 7. Algorithms for the Weighted Orthogonal Procrustes Problem and other Least Squares Problems

    Författare :Thomas Viklands; Per-Åke Wedin; Lars Eldén; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Procrustes; weighted; orthogonal; algorithms; global optimization.; Numerical analysis; Numerisk analys;

    Sammanfattning : In this thesis, we present algorithms for local and global minimization of some Procrustes type problems. Typically, these problems are about rotating and scaling a known set of data to fit another set with applications related to determination of rigid body movements, factor analysis and multidimensional scaling. LÄS MER

  4. 8. Data driven modeling in the presence of time series structure: : Improved bounds and effective algorithms

    Författare :Othmane Mazhar; Boualem Djehiche; Munther Dahleh; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Time series; Non-asymptotic estimation; Minimax; Change point detection; Hidden Markov model; State space model; Least square; Penalized Regression; Random covariance matrix; Concentration inequality; Chaining integral; Self-normalized martingale inequality; Cramér-Rao inequality; van Trees inequality; Matematisk statistik; Mathematical Statistics;

    Sammanfattning : This thesis consists of five appended papers devoted to modeling tasks where the desired models are learned from data sets with an underlying time series structure. We develop a statistical methodology for providing efficient estimators and analyzing their non-asymptotic behavior. LÄS MER

  5. 9. Algorithms and Library Software for Periodic and Parallel Eigenvalue Reordering and Sylvester-Type Matrix Equations with Condition Estimation

    Författare :Robert Granat; Bo Kågström; Isak Jonsson; Volker Mehrmann; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; periodic eigenvalue problems; product eigenvalue problems; periodic Schur form; periodic eigenvalue reordering; periodic eigenspaces; parallel algorithms; Sylvester-type matrix equations; parallel eigenvalue reordering; condition estimation; Computer science; Datavetenskap;

    Sammanfattning : This Thesis contains contributions in two different but closely related subfields of Scientific and Parallel Computing which arise in the context of various eigenvalue problems: periodic and parallel eigenvalue reordering and parallel algorithms for Sylvestertype matrix equations with applications in condition estimation.Many real world phenomena behave periodically, e. LÄS MER

  7. 10. Algorithms in data mining : reduced rank regression and classification by tensor methods

    Författare :Berkant Savas; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; MATHEMATICS; MATEMATIK;

    Sammanfattning : In many fields of science, engineering, and economics large amounts of data are stored and there is a need to analyze these data in order to extract information for various purposes. Data mining is a general concept involving different tools for performing this kind of analysis. LÄS MER