Reading The Text File Data Into Matlab And Plotting Assignment Help
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Reading the text file data into MATLAB and plotting Assignment Help
Challenge: Read the text file data into MATLAB and plot the bacteria formation rate (dN/dt) and label your plot appropriately.
Matlab code is given below
% read and plots the data
clc;
clear;
readplot('experimental_dNdt.txt',6,2);
Perform a curve fit of the data
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% curbe fitting to different segments and display on screen
clc;
clear;
[data x y] = readplot('experimental_dNdt.txt',6,2);
datap1 = data(1:125,:);
datap2 = data(126:225,:);
datap3 = data(226:end,:);
p1 = polyfit(datap1(:,1),datap1(:,2),3);
p2 = polyfit(datap2(:,1),datap2(:,2),3);
p3 = polyfit(datap3(:,1),datap3(:,2),3);
f1 = polyval(p1,1:125);
f2 = polyval(p2,126:225);
f3 = polyval(p3,226:477);
f = [f1 f2 f3];
plot(x,y,'r-',x,f,'b-');
display('Coefficient of Fit Curves');
display(p1);
display(p2);
display(p3);
Applicaton of Newton-Raphson method for finding maxim and minima using Matlan
Use the Newton-Raphson method to identify the time at which the number of bacteria (N) passes through a maximum.
% To find point the point at which N reaches a maximum, we have to find a
% point where the its derivative is zero. We can see from the curve that it
% reaches zero at only one point and that point is what we need to find
% using newton-raphson method.
clc;
clear;
[data x y] = readplot('experimental_dNdt.txt',6,2);
datap1 = data(1:125,:);
datap2 = data(126:225,:);
datap3 = data(226:end,:);
p1 = polyfit(datap1(:,1),datap1(:,2),3);
p2 = polyfit(datap2(:,1),datap2(:,2),3);
p3 = polyfit(datap3(:,1),datap3(:,2),3);
% now try to find the zero of the approximated polynomials using
% newton-raphson and display them . All real and imaginary roots are
% displayed
r1 = newtonraph(p1);
display('Point of max value of bacteria is time:')
for i = 1:length(r1)
if r1(i)>=1 && r1(i)<= 125
display((r1(i)));
end
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for help contact to our website
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r3 = newtonraph(p3);
for i = 1:length(r3)
if r3(i)>=226 && r3(i)<= 477
display((r3(i)));
end
end
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