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png lg-button-normal.png

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png sm-button-normal.png

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www.eeworm.com/read/329502/12951557

png floppy-off-normal.png

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png tn-button-normal.png

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png md-button-normal.png

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www.eeworm.com/read/140851/13058466

m matrix_normal_pdf.m

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www.eeworm.com/read/327235/13093119

m fit_ml_normal.m

function result = fit_ML_normal( x,hAx ) % fit_ML_normal - Maximum Likelihood fit of the normal distribution of i.i.d. samples!. % Given the samples of a normal distribution, the PD
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www.eeworm.com/read/327235/13093125

m plot_log_normal.m

function plot_log_normal( x,params,hAx,plot_num,fontsize ) % plot the log-normal distribution with parameters "m" and "s" % % the distribution is given by: % % p(x) = sqrt(1/(2*pi))/(s*x)
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www.eeworm.com/read/139650/13145057

m init_normal_weno.m

function [Vn_ext] = init_normal_WENO(Vn) % % Extends boundary of Vn % % Author: Baris Sumengen sumengen@ece.ucsb.edu % http://vision.ece.ucsb.edu/~sumengen/ % Vn_ext = zeros(size(Vn)+6); Vn
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www.eeworm.com/read/139650/13145092

m llf_normal_vector.m

function [H, alpha_x, alpha_y] = LLF_normal_vector(dx, dy, Vn_ext, u_ext, v_ext, phi_x_minus, phi_x_plus, phi_y_minus, phi_y_plus) % % Estimate H (approximately) using Stencil Local % Lax-Friedric
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