How to write a simple MATLAB code for simplification of if.. else.. code
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My program has a vector x=(x1,x2,...xn) and I want to compare xp with the values of the vector x. I wrote the following code in my program. Can we simplify the following code using any matlab builtin functions
if (xp<=x(1)) s=1;
else if xp>=x(n) s=n;
else
for i=2:n-1
if xp>=x(i) && xp<x(i+1) s=i;
end
end
end
end
5 Commenti
madhan ravi
il 13 Set 2018
What’s your input x and your desired output? Give an example .
Rik
il 13 Set 2018
Does this code return the result that you want? Is it right that your output is only a scalar? Also, there is a big difference between else if and elseif. Below you find two blocks of code, which is the one you mean?
if (xp<=x(1))
s=1;
else
if xp>=x(n)
s=n;
else
for i=2:n-1
if xp>=x(i) && xp<x(i+1)
s=i;
end
end
end
end
Or
if (xp<=x(1))
s=1;
elseif xp>=x(n)
s=n;
else
for i=2:n-1
if xp>=x(i) && xp<x(i+1)
s=i;
end
end
end
Walter Roberson
il 14 Set 2018
What value is to be selected if xp > x(1) & xp < x(2) ?
Your pseudocode reserves the value 1 for values no greater than x(1), and starts at 2 for values at least as large as x(2), leaving open the question of what should happen for values between the two.
PJS KUMAR
il 14 Set 2018
Risposte (3)
Walter Roberson
il 14 Set 2018
[~, s] = histc(xp, [-inf x(2:end) inf]);
selected_x = x(s);
This assumes x is in increasing order.
3 Commenti
PJS KUMAR
il 14 Set 2018
Walter Roberson
il 14 Set 2018
s is exactly the value you calculate in your pseudocode, 1 for values too low, n for values above the range, and so on.
If you are asking about the construct [~,s] then it is the same as if you had coded
[SoMEVarIaBlEiWILLnoTuSE, s] = histc(xp, [-inf x(2:end) inf]);
clear SoMEVarIaBlEiWILLnoTuSE
That is, it says that you want to ignore the output in that position. Like many functions, histc returns multiple outputs that have different purposes; the first output of histc is the bin counts (because histc was primarily intended to aid in computing histograms.)
Rik
il 14 Set 2018
A minor edit makes removes the assumption of being ordered.
temp_x=sort(x);
[~, s] = histc(xp, [-inf temp_x(2:end) inf]);
selected_x = temp_x(s);
Fangjun Jiang
il 13 Set 2018
Modificato: Fangjun Jiang
il 13 Set 2018
x=10:10:100;
xp=29;
n=numel(x);
interp1([-realmax,x,realmax],[1,1:n,n],xp,'previous')
5 Commenti
PJS KUMAR
il 13 Set 2018
Fangjun Jiang
il 13 Set 2018
It is an example value of your xp.
PJS KUMAR
il 14 Set 2018
Fangjun Jiang
il 14 Set 2018
x=[-1 -1.2 -1.4 -1.6 -1.8 -2];
xp=[-1.3, -2.5, 1];
n=numel(x);
index=interp1([realmax,x(2:end),-realmax],[1:n,n],xp,'next')
yp=x(index)
x=[1 1.2 1.4 1.6 1.8 2];
xp=[1.3, 2.5, 0.5];
n=numel(x);
index=interp1([-realmax,x(2:end),realmax],[1:n,n],xp,'previous')
yp=x(index)
Fangjun Jiang
il 17 Set 2018
Modificato: Fangjun Jiang
il 17 Set 2018
Now I think your problem has nothing to do with the increasing or decreasing of the values in x. Rather, it is to lookup and "match" the values in x towards zero, similar to the difference between floor(), ceil() and fix(). To do this, use the 'previous' and 'next' option of interp1() based on the sign of xp value. Please note, you shall add -realmax and realmax to avoid extrapolation, add 0 to avoid nondeterministic when xp fells between two points in x that are on the opposite side of zero.
x=[1 1.2 1.4 1.6 1.8 2 -1 -1.2 -1.4 -1.6 -1.8 -2];
xp=[-1.3, -2.5, -0.5 1 1.3, 2.5, 0.5];
xMod=[x,-realmax,0,realmax];
yp=zeros(size(xp));
for k=1:numel(xp)
if xp(k)>=0
yp(k)=interp1(xMod,xMod,xp(k),'previous');
else
yp(k)=interp1(xMod,xMod,xp(k),'next');
end
end
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