gauss
clc;clear;close all;gauss = @(x,mu,sig,amp,vo)amp*exp(-(((x-mu).^2)/(2*sig.^2)))+vo;x = linspace(8.5,17,1000000);mu = 12;sig = 1.19895;amp = 10000;vo = 0; gauss = gauss(x,mu,sig,amp,vo);plot(x, gauss/1000, 'g-', 'LineWidth',.1)gauss = @(x)amp*exp(-(((x-mu).^2)/(2*sig.^2)))+vo;arear_under_crve = integral(gauss,8.5,17);T = Maclaurinfunction T=Maclaurinh={'terms' 'result' 'epsilon_t' 'epsilon_a'};n=5;x=input('enter the x value: ');epsilon_s=(0.5*10^(2-n));epsilon=100;maclaurin(1)=1;iteration=1;while epsilon>epsilon_siteration=iteration+1;maclaurin(iteration)=maclaurin(iteration-1)+(x)^(iteration-1)/factorial(iteration-1);epsilon=abs((maclaurin(iteration)-maclaurin(iteration-1))/maclaurin(iteration));enddisp(['e^' num2str(x, '%.8f') ' = ' num2str(maclaurin(iteration))])disp(['number of iterations= ',num2str(iteration)])disp(['epsilon= ',num2str(epsilon)])T = table(maclaurin,iteration,epsilon);%here
end You can use Matlab function to construct Gaussian function : x = 0:0.1:10;y = gaussmf(x,[2 5]);plot(x,y)
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