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John
John on 20 Apr 2011
I got a quick question, lets say I have an array of numbers for example [ 9 3 2 7 1 8 ] and I want to find the minimum value ie: for this example it would be 1.
How could I implement an optimization search like this??
  1 Comment
Paulo Silva
Paulo Silva on 20 Apr 2011
min([ 9 3 2 7 1 8 ])
Optimization?!

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Answers (8)

Matt Tearle
Matt Tearle on 20 Apr 2011
Can you explain what you want beyond min(x)?

John
John on 20 Apr 2011
I know I can use [value index] = min(array) however I am wanting to write my own loop for this.
I just want the loop to output the minimum value in the array, that is it.
  12 Comments
Matt Fig
Matt Fig on 22 Apr 2011
I just noticed that my function incorrectly handles NaN's if the input has only NaN and Inf - the index is always 1. This must be part of the reason why MIN is so much slower with two outputs... It is doing some gymnastics when NaN's are encountered.
Matt Tearle
Matt Tearle on 22 Apr 2011
Interesting! Thanks for the info. I did idly wonder if the number of outputs was making the difference, but couldn't see any reason why. Your explanation makes sense.

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Paulo Silva
Paulo Silva on 20 Apr 2011
m=[9 3 2 7 1 8 ]
%another way to find minimum value, using unique
u=unique(m);
u(1)
%another way to find minimum value, using sort
s=sort(m);
s(1)
%another way to find minimum value, a loop this time
MinVal=m(1);
for lo=1:numel(m)
if m(lo)<MinVal
MinVal=m(lo);
end
end
MinVal
  1 Comment
Andrei Bobrov
Andrei Bobrov on 20 Apr 2011
or more loops for
k = sum(abs(m));
for jj = 1:numel(m)
k = min(k,m(jj));
end

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Walter Roberson
Walter Roberson on 20 Apr 2011
If you use one of the optimizers that do not require continuous derivatives, then for any x value, take K = floor(x); if that is out of the range 1:length(m) return +infinity, and otherwise return m(K)
The optimization routine should then find the minimum value, and floor() of the x value it returns will be the index of that value.

John
John on 21 Apr 2011
I have been looking at everything suggested and researched other options is a bubble sort an efficient way to sort an array as well? I am trying to stay away from built in matlab functions
  6 Comments
Paulo Silva
Paulo Silva on 21 Apr 2011
m=randi([1 10],5,2) %x and y array
MinVal=m(1,2);
MinValRow=1;
for lo=1:size(m,1)
if m(lo,2)<MinVal
MinVal=m(lo,2);
MinValRow=lo;
end
end
MinValy=MinVal
MinValx=m(MinValRow,1)
MinValRow
John
John on 21 Apr 2011
Thanks a lot!

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John
John on 21 Apr 2011
I am trying to implement this form of a bubble sort, doing what I explained above but matlab is giving me an error because y is not defined in my function, but I do not understand why.
function y= bubble(x,y)
n = length(x);
for k = 1:n-1
for j = 1:n-k
if(x(j)> x(j+1))
temp = x(j);
x(j) = x(j+1);
x(j+1) = temp;
temp = y(j);
y(j) = y(j+1);
y(j+1) = temp;
end % if
end % for
end % for
y = x;
  1 Comment
Paulo Silva
Paulo Silva on 21 Apr 2011
even after being warned about the inefficiency of that method you insist on using it!
Your function does work fine:
m=randi([1 10],10,2) %x and y array
y=bubble(m(:,1),m(:,2))
y(1) %min value

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Paulo Silva
Paulo Silva on 21 Apr 2011
John code:
function y= bubble(x,y)
n = length(x);
for k = 1:n-1
for j = 1:n-k
if(x(j)> x(j+1))
temp = x(j);
x(j) = x(j+1);
x(j+1) = temp;
temp = y(j);
y(j) = y(j+1);
y(j+1) = temp;
end % if
end % for
end % for
y = x;
my code:
MinVal=m(1,2);
MinValRow=1;
for lo=1:size(m,1)
if m(lo,2)<MinVal
MinVal=m(lo,2);
MinValRow=lo;
end
end
Test with
n=1:2000
m=randi([1 10],n,2); %x and y array
You can see the time of code execution rising very fast with the bubble sort method, while with my code the time remains almost constant, better codes do exist and I bet that Matt Fig has better code :)

John
John on 22 Apr 2011
I understand your method is more efficient, and i do not believe my bubble sort is working either because I have:
sort=bubble(y1,x1)
To get real specific of what i want I am going to add some code below. Maybe you will see what is going on.
f=@(Isp) (alpha*g*T*Isp)./(2*(1-(((Isp-5000).^2)/(5000^2)))) + Mo*(1-exp(-dV./(Isp*g)));
Analytical_Derivative=@(Isp) 2943./100000./(2-1./12500000*(Isp-5000).^2)-2943./100000.*Isp./(2-1/12500000.*(Isp-5000).^2).^2.*(-1./6250000.*Isp+1./1250)-70000000000/981./Isp.^2.*exp(-1400000/981./Isp);
dydx=@(Isp,y) 2943./100000./(2-1./12500000*(Isp-5000).^2)-2943./100000.*Isp./(2-1/12500000.*(Isp-5000).^2).^2.*(-1./6250000.*Isp+1./1250)-70000000000/981./Isp.^2.*exp(-1400000/981./Isp);
[x1 y1]=eulode(dydx, [1 9700],50000,10);
The eulode is just a program I have written for Euler's method to approximate an integral.
The thing is it is outputting a directory of x-values, as well as y-values. The reason I want to sort the values it that at the point where my y-value is minimum I want to know my x-cordinate, I am trying to do it without a matlab built in function. I am just having the problem of my x values not sorting with each corresponding y value. I know the bubble sore is inefficient but it gets the job done for what I need. Please any suggestion on how to edit my bubble sort code to allow each x value to sort with its corresponding y value, NOT BOTH.
  4 Comments
Walter Roberson
Walter Roberson on 22 Apr 2011
No, just a single pass through finding the minimum is *much* easier than sorting.
John
John on 22 Apr 2011
Ok, I'm gonna try to come up with something that will just find a min value then.

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