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linear least squares matlab function lsqlin  (MathWorks Inc)


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    MathWorks Inc linear least squares matlab function lsqlin
    Linear Least Squares Matlab Function Lsqlin, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/matlab+lsqlin+function/pm38169031-145-2-3
    Average 90 stars, based on 1 article reviews
    linear least squares matlab function lsqlin - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: A short 18 F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET.
    Article Snippet: Linear least squares (MATLAB function lsqlin) was used to estimate Ki by Patlak analysis.

    Article Title: Estimating Chronological Age From the Electrical Activity of the Brain: How EEG ‐Age Can Be Used as a Marker of General Brain Functioning
    Article Snippet: 1 f m + ∑ i = 1 5 A i e − 1 2 f − μ i σ i 2 2 + k The model was fitted using non‐linear least squares (MATLAB function ‘fit.m’) with conventional constraints: m < 0 , 0 ≤ A i ≤ 10 lo g 2 μV / Hz , peak frequencies, μ i , to be in the ranges 1–7, 7–13, 13–21, 21–29, and 29–47 Hz, and maximum widths, σ i , to be 15, 10, 30, 30, and 30 Hz for the five frequency bands respectively.

    Article Title: Efficient removal of zinc ion pollution by carbon-based magnetic alloy: Experimental, theoretical modeling and DFT studies
    Article Snippet: In this study, we prepared a graphite-iron alloy using the mechanical alloying method for the adsorption of zinc ions.. The resulting compounds were characterized using various techniques, including scanning electron microscopy, energy dispersive x-ray spectroscopy, x-ray diffraction, x-ray photoelectron spectroscopy, Fouriertransform infrared spectroscopy, and vibrating sample magnetometer.. Experimental results confirmed effective zinc adsorption, with ten isotherm models evaluated; the Toth model provided the best fit, yielding a maximum adsorption capacity of 729.7 mg/g.

    Article Title: Robust sparse recovery with sparse Bernoulli matrices via expanders
    Article Snippet: To recover x based on the measurement y and the measurement matrix A, we computed x via the nonnegative least squares (7) in Matlab.

    Article Title: A short 18 F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET
    Article Snippet: Linear least squares (MATLAB function lsqlin) was used to estimate \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$K_{i}$$\end{document} K i by Patlak analysis.

    Article Title: Block Diagonalization of Block Circulant Quaternion Matrices and the Fast Calculation for T-Product of Quaternion Tensors
    Article Snippet: With quaternion matrices and quaternion tensors being gradually used in the color image and color video processing, the block diagonalization of block circulant quaternion matrices has become a key issue in the establishment of T-product based methods for quaternion tensors.. Out of this consideration, we aim at establishing a fast calculation approach for the block diagonalization of block circulant quaternion matrices with the help of the fast Fourier transform (FFT).. We first show that the discrete Fourier matrix Fp cannot diagonalize p× p circulant quaternion matrices, nor can the unitary quaternion matrices Fpj and Fp(1+ j)/ √ 2 with j being an imaginary unit of quaternion algebra.

    Article Title: Muscle synergy analysis for clinical characterization of upper limb motor recovery after stroke.
    Article Snippet: Additionally, we quantified merging and fractionation muscle synergy patterns in the affected limb relative to the total number of synergies in the unaffected limb, using non-negative least squares (Matlab function lsqnonneg) (11).

    Article Title: Estimating Chronological Age From the Electrical Activity of the Brain: How EEG-Age Can Be Used as a Marker of General Brain Functioning.
    Article Snippet: Combined this gives: The model was fitted using non- linear least squares (MATLAB function ‘fit.m’) with conventional constraints: m < 0, 0 ≤ Ai ≤ 10 log2( V∕Hz), peak frequencies, i, to be in the ranges 1–7, 7–13, 13–21, 21–29, and 29–47 Hz, and maximum widths, i, to be 15, 10, 30, 30, and 30 Hz for the five frequency bands respectively.



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