1
$\begingroup$

I have made following matlab code for computing cpu time of matlab inbuilt function pinv(A) to compute the Pseudo inverse of a given matrix. I had runed the matlab code 1000 times & calculated the mean of the results.

Matlab code

A = rand(10) % given randomly generated matrix of order 10 REPS = 1000; % taking thousand times repetitions   minTime = Inf;   tic for i=1:REPS     tstart = tic;        x1=pinv(A)      telapsed = toc(tstart);      minTime = min(telapsed,minTime); end  execTime = toc; % total execution time  averageTime = execTime/REPS 

I am not sure whether my program is correct or not? I have to use these results for my project work. Could anybody help me with this. I would be very much thankful to you.

  • 1
    @joriki You will then incur additional execution time for the generation of new random matrices, in the outer tic/toc counter. The particular inverse is not important here, just the execution time to calculate one of them.2012-09-19

1 Answers 1

2

(Copied from above comments) I edited your code. I changed it slightly. execTime is the total execution time. averageTime is the average time to calculate the pseudoinverse. minTime is the minimum time for one iteration. You are also likely to get more accurate results if each iteration takes longer (See here for issues when the execution time is too short). The easiest way to do this is to increase the size of A, such as A=rand(100). Depending on your machine, this still may not be large enough.

The edited code will work as you desire. As I said, you may not experience accurate results for the timing with A so small in size. As I suggested above, make the coefficient matrix A larger, so that the total execution time is longer for each iteration. (I will post these comments as an answer.)

  • 0
    Ya i did for larger order matrices. For smaller order matrices it is taking very less time.2012-09-18