Search for dissertations about: "least squares algorithm"

Showing result 1 - 5 of 83 swedish dissertations containing the words least squares algorithm.

  1. 1. Fast Algorithms for Integral Equations and Least Squares Identification Problems

    Author : Stefan Ljung; Linköpings universitet; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Fast algorithms; Integral equations; Least squares; Identification;

    Abstract : This work is concerned with fast algorithms for integral equations and least squares identification problems.The presentation is divided into three parts. In the first part a fast algorithm for solving systems oflinear equations with a matrix that is alm ost Toeplitz is derived and applied to Fredholm integral equations with stationary kernels. READ MORE

  2. 2. Analysis of Some Methods for Identifying Dynamic Errors-in-variables Systems

    Author : Mei Hong; Torsten Söderström; Magnus Jansson; Uppsala universitet; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; system identification; errors-in-variables; least squares; instrumental variable; maximum likelihood; bias compensated least squares; bias eliminating least squares; Frisch scheme; higher-order statistics; accuracy analysis; periodic data; Signal processing; Signalbehandling;

    Abstract : A system where errors or noises are present on both the inputs and the outputs is called an errors-in-variables (EIV) system. EIV systems appear in industrial and agricultural processes, medical sciences, economical systems, biotechnology, as well as in many other areas. READ MORE

  3. 3. Fitting Polygons to Coordinate Data

    Author : Anna Persson; Lennart Bondesson; Umeå universitet; []
    Keywords : area; EM algorithm; iteratively reweighted least squares; order restrictions; polygon; polyhedron; restricted least squares; simulation; volume;

    Abstract : .... READ MORE

  4. 4. Algorithms in data mining using matrix and tensor methods

    Author : Berkant Savas; Lars Eldén; Lieven De Lathauwer; Linköpings universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Volume; Minimization criterion; Determinant; Rank deficient matrix; Reduced rank regression; System identification; Rank reduction; Volume minimization; General algorithm; Handwritten digit classification; Tensors; Higher order singular value decomposition; Tensor approximation; Least squares; Tucker model; Multilinear algebra; Notation; Contraction; Tensor matricization; Newton s method; Grassmann manifolds; Product manifolds; Quasi-Newton algorithms; BFGS and L-BFGS; Symmetric tensor approximation; Local intrinsic coordinates; Global embedded coordinates; ; Numerical analysis; Numerisk analys;

    Abstract : 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. READ MORE

  5. 5. Least squares methods and applications in robotics

    Author : Bertil Waldén; Wedin Per-Åke; Linköpings universitet; []

    Abstract : This thesis consider the least squares problems and various applications to the inverse kinematic problem in robotics. Two main linear least squares results are given; new backward perturbation bounds and an adaptive algorithm for rank-I regularization for rank deficient linear least squares problems. The inverse kinematic problem, i.e. READ MORE