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recursive-Least-Squares

  • Numerical Computing with MATLAB (by Cleve Moler) is a textbook for an introductory course in numeri

    Numerical Computing with MATLAB (by Cleve Moler) is a textbook for an introductory course in numerical methods, Matlab, and technical computing. The emphasis is on in- formed use of mathematical software. We want you learn enough about the mathe- matical functions in Matlab that you will be able to use them correctly, appreciate their limitations, and modify them when necessary to suit your own needs. The topics include * introduction to Matlab, * linear equations, * interpolation, * zero and roots, * least squares, * quadrature, * ordinary di?erential equations, * random numbers, * Fourier analysis, * eigenvalues and singular values, * partial di?erential equations.

    標簽: introductory Numerical Computing textbook

    上傳時間: 2016-07-04

    上傳用戶:思琦琦

  • Toolbox for Numerical Computing with MATLAB (by Cleve Moler). Numerical Computing with MATLAB (

    Toolbox for Numerical Computing with MATLAB (by Cleve Moler). Numerical Computing with MATLAB (by Cleve Moler) is a textbook for an introductory course in numerical methods, Matlab, and technical computing. The emphasis is on in- formed use of mathematical software. We want you learn enough about the mathe- matical functions in Matlab that you will be able to use them correctly, appreciate their limitations, and modify them when necessary to suit your own needs. The topics include * introduction to Matlab, * linear equations, * interpolation, * zero and roots, * least squares, * quadrature, * ordinary di?erential equations, * random numbers, * Fourier analysis, * eigenvalues and singular values, * partial differential equations.

    標簽: Numerical Computing MATLAB with

    上傳時間: 2014-01-01

    上傳用戶:guanliya

  • this directory contains the following: * The acdc algorithm for finding the approximate general

    this directory contains the following: * The acdc algorithm for finding the approximate general (non-orthogonal) joint diagonalizer (in the direct Least Squares sense) of a set of Hermitian matrices. [acdc.m] * The acdc algorithm for finding the same for a set of Symmetric matrices. [acdc_sym.m](note that for real-valued matrices the Hermitian and Symmetric cases are similar however, in such cases the Hermitian version [acdc.m], rather than the Symmetric version[acdc_sym] is preferable. * A function that finds an initial guess for acdc by applying hard-whitening followed by Cardoso s orthogonal joint diagonalizer. Note that acdc may also be called without an initial guess, in which case the initial guess is set by default to the identity matrix. The m-file includes the joint_diag function (by Cardoso) for performing the orthogonal part. [init4acdc.m]

    標簽: approximate directory algorithm the

    上傳時間: 2014-01-17

    上傳用戶:hanli8870

  • The toolbox solves a variety of approximate modeling problems for linear static models. The model ca

    The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted norm between the given data and data that is consistent with the model. There are three main classes of functions in the toolbox: transformation functions, misfit computation functions, and approximation functions. The approximation functions derive an approximate model from data, the misfit computation functions are used for validation and comparison of models, and the transformation functions are used for deriving one model representation from another. KEYWORDS: Total least squares, generalized total least squares, software implementation.

    標簽: approximate The modeling problems

    上傳時間: 2013-12-20

    上傳用戶:15071087253

  • The inverse of the gradient function. I ve provided versions that work on 1-d vectors, or 2-d or 3-d

    The inverse of the gradient function. I ve provided versions that work on 1-d vectors, or 2-d or 3-d arrays. In the 1-d case I offer 5 different methods, from cumtrapz, and an integrated cubic spline, plus several finite difference methods. In higher dimensions, only a finite difference/linear algebra solution is provided, but it is fully vectorized and fully sparse in its approach. In 2-d and 3-d, if the gradients are inconsistent, then a least squares solution is generated

    標簽: gradient function provided versions

    上傳時間: 2016-11-07

    上傳用戶:秦莞爾w

  • Mapack可用來做矩陣運算 Mapack is a .NET class library for basic linear algebra computations. It supports th

    Mapack可用來做矩陣運算 Mapack is a .NET class library for basic linear algebra computations. It supports the following matrix operations and properties: Multiplication, Addition, Subtraction, Determinant, Norm1, Norm2, Frobenius Norm, Infinity Norm, Rank, Condition, Trace, Cholesky, LU, QR, Single Value decomposition, Least Squares solver, Eigenproblem solver, Equation System solver. The algorithms were adapted from Mapack for COM, Lapack and the Java Matrix Package.

    標簽: Mapack computations supports algebra

    上傳時間: 2017-01-26

    上傳用戶:tb_6877751

  • observable distribution grid are investigated. A distribution grid is observable if the state of th

    observable distribution grid are investigated. A distribution grid is observable if the state of the grid can be fully determined. For the simulations, the modified 34-bus IEEE test feeder is used. The measurements needed for the state estimation are generated by the ladder iterative technique. Two methods for the state estimation are analyzed: Weighted Least Squares and Extended Kalman Filter. Both estimators try to find the most probable state based on the available measurements. The result is that the Kalman filter mostly needs less iterations and calculation time. The disadvantage of the Kalman filter is that it needs some foreknowlegde about the state.

    標簽: distribution observable grid investigated

    上傳時間: 2014-12-08

    上傳用戶:ls530720646

  • This is GPS in matlab calculatePseudoranges finds relative pseudoranges for all satellites listed

    This is GPS in matlab calculatePseudoranges finds relative pseudoranges for all satellites listed in CHANNELLIST at the specified millisecond of the processed signal. The pseudoranges contain unknown receiver clock offset. It can be found by the least squares position search procedure.

    標簽: calculatePseudoranges pseudoranges satellites relative

    上傳時間: 2017-03-09

    上傳用戶:時代電子小智

  • Basic function to locate and measure the positive peaks in a noisy data sets. Detects peaks by loo

    Basic function to locate and measure the positive peaks in a noisy data sets. Detects peaks by looking for downward zero-crossings in the smoothed third derivative that exceed SlopeThreshold and peak amplitudes that exceed AmpThreshold. Determines, position, height, and approximate width of each peak by least-squares curve-fitting the log of top part of the peak with a parabola.

    標簽: peaks function positive Detects

    上傳時間: 2017-04-26

    上傳用戶:彭玖華

  • wangluo ppt

    最小二乘法曲面擬合,包括C程序及說明文件。對于搞三維重建的有一定幫助-Least squares surface fitting, including the C procedures and documentation. For engaging in three-dimensional reconstruction to some extent help the

    標簽: 通信網

    上傳時間: 2015-11-28

    上傳用戶:schhqq

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