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function y=normal(x) y=(1/(2*pi)^0.5)*exp(-x.^2/2);

#include #define pi 3.1415 double gaussian(double x) { double resu; resu=-0.5*x*x; resu=exp(resu); resu=resu/sq

% % Function to calculate the objective function where % input k = temporary vector % b = unstable vector function [ value ] = PI(k, b) Q=eye(length(k)); a=Levinson(k); value=0.5*(a(2:lengt

function y= gauss(x, mean,sig) y=(1/(sqrt(2*pi)*sig))*exp(-((x-mean).^2)/(2*sig^2));

% area2rlc.m % function area2RLC(ar, sl) % used by syn_fire.m in synthesis clear i; w = 2*pi * 4000.0; rho = 1.14e-3; mu = 1.86e-4; c = 3.53e4; eta = 1.4; lambda = 5.5e-5; epsilon

% angle.m function ang=angle(p_x,p_y,pr_x,pr_y) xd = p_x - pr_x; yd = p_y - pr_y; if (xd > 0 & yd > 0) ang = atan(yd/xd); end if (xd == 0 & yd > 0) ang = 0.5*pi; end if (xd

function y= gauss(x, mean,sig) y=(1/(sqrt(2*pi)*sig))*exp(-((x-mean).^2)/(2*sig^2));

package Circle_Func; public class Circle { protected double pi=22.00/7.00; public double area(double r) { return pi*r*r; } public double volume(double r,double h) { return

#include #include #include #include #include "global.h" #include "mbuf.h" #include "iface.h" #include "pktdrvr.h" #include "netuser.h" #include "pi.h" #

% function [lik, likv]=mfa_cl(X,Lh,Ph,Mu,Pi); % % Calculates log likelihoods of a data set under a mixture of factor % analysis model. % % X - data matrix % Lh - factor loadings % Ph - diagonal uniq