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  1. Theory and Applications of Gaussian Quadrature Methods

    av Narayan Kovvali

    Häftad, Engelska, 2011-05-20
    315
    Köp
    Skickas från oss inom 10-15 vardagar.
    Theory and Applications of Gaussian Quadrature Methods

    Gaussian quadrature is a powerful technique for numerical integration that falls under the broad category of spectral methods. The purpose of this work is to provide an introduction to the theory and practice of Gaussian quadrature. We study the a...

    Läs mer »

  2. Introduction to Kalman Filtering with MATLAB Examples

    av Narayan Kovvali, Mahesh Banavar, Andreas Spanias

    Häftad, Engelska, 2013-10-15
    370
    Köp
    Skickas från oss inom 10-15 vardagar.
    Introduction to Kalman Filtering with MATLAB Examples

    The Kalman filter is the Bayesian optimum solution to the problem of sequentially estimating the states of a dynamical system in which the state evolution and measurement processes are both linear and Gaussian. Given the ubiquity of such systems, ...

    Läs mer »

  3. Theory and Applications of Gaussian Quadrature Methods E-bok

    av Narayan Kovvali

    E-bok (PDF, LCP), Engelska, 2022-05-31
    399
    Ladda ned
    Läs i Bokus Reader för iOS och Android.
    Theory and Applications of Gaussian Quadrature Methods

    Gaussian quadrature is a powerful technique for numerical integration that falls under the broad category of spectral methods. The purpose of this work is to provide an introduction to the theory and practice of Gaussian quadrature. We study the a...

    Läs mer »

  4. Introduction to Kalman Filtering with MATLAB Examples E-bok

    av Narayan Kovvali, Mahesh Banavar, Andreas Spanias

    E-bok (PDF, LCP), Engelska, 2022-06-01
    482
    Ladda ned
    Läs i Bokus Reader för iOS och Android.
    Introduction to Kalman Filtering with MATLAB Examples

    The Kalman filter is the Bayesian optimum solution to the problem of sequentially estimating the states of a dynamical system in which the state evolution and measurement processes are both linear and Gaussian. Given the ubiquity of such systems, ...

    Läs mer »