Effacer les filtres
Effacer les filtres

what's the difference

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zilai si
zilai si le 6 Mai 2019
I want to piecewise plot a interlolation function. When I input the nodes like this
X = -1:0.1:1;
N = length(X);
the graph is continuous like this
However When I input the nodes like this :
X = zeros(1,21);
N = 21;
for i = 1: 21
X(i) = -1 + 2*(i-1)/(N-1);
there is an obvious gap in the graph like this :
I suppose these two codes are exactly the same, why the graphs are different??
the codes are as follows:
tic
clc
clear
f = @(x)1./(1+25.*x.^2);
syms x
f_dri = diff(f(x));
%X = -1:0.1:1;
%N = length(X);
X = zeros(1,21);
N = 21;
F = zeros(1, N);
F_dri = zeros(1, N);
for i = 1 : N
X(i) = -1 + 2*(i-1)/(N-1);
F(i) = f(X(i));
F_dri(i) = subs(f_dri, x, X(i));
end
for j = 1 : N-1
M = zeros(4,4);
M(1,1) = F(j);
M(2,1) = F(j);
M(3,1) = F(j+1);
M(4,1) = F(j+1);
M(2,2) = F_dri(j);
M(3,2) = (F(j+1)-F(j))/(X(j+1)-X(j));
M(4,2) = F_dri(j+1);
M(3,3) = (M(3,2)-M(2,2))/(X(j+1)-X(j));
M(4,3) = (M(4,2)-M(3,2))/(X(j+1)-X(j));
M(4,4) = (M(4,3)-M(3,3))/(X(j+1)-X(j));
f_inp = M(1,1)+(x-X(j))*M(2,2)+(x-X(j))^2*M(3,3)+(x-X(j+1))*(x-X(j))^2*M(4,4);
a = X(j):0.01:X(j+1);
b = subs(f_inp, x, a);
G = plot(a, b, 'r', 'LineWidth', 2);
hold on
end
saveas(gcf, 'pic_2', 'jpg');
% r = -1:0.01:1;
% f_ori = f(r);
% G(5) = plot(r, f_ori, 'k', 'LineWidth', 2);
legend(G,'N=21');
toc

Réponse acceptée

Walter Roberson
Walter Roberson le 6 Mai 2019
X(13) is eps/4 less than 0.2 . When you use X(j):0.01:X(j+1) that is just enough that the previous plot ends at 0.19 instead of 0.20
Always remember that when you calculate your endpoints using floating point numbers that they will usually not be **exactly* nice multiples of 1/10 or 1/100 .
  2 commentaires
zilai si
zilai si le 7 Mai 2019
thanks, i undersatand. But how to solve such problems?
Walter Roberson
Walter Roberson le 7 Mai 2019
You have a fundamental mismatch of expecting that breaking up the range 0 to 1 into (N-1) subdivisions (N total points including both endpoints) will give you ranges that are nicely divisible into increments of 0.01
Instead of using X(j):0.01:X(j+1) consider using a = linspace(X(j), X(j+1), 11)

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