Make my code for taking norm efficient
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here is my code that is taking norm between 2 rows from 2 different excel files,it picks one row from my_first_file.xlsx and take norm with all the rows in my_second_file.xlsx and and store all the values to R i.e array/ vector and after completing one inner loop it takes the minimum value and its index from the array R,it runs OK but it takes lot much time to execute,please amend it in such a way that it takes considerably less time and performs efficiently and correct me where i am wrong,you are welcome.
n=853;m=500;
for s=1:n % n=number of rows in my_first_file.xlsx
filename = 'my_first_file.xlsx';
row1 = xlsread(filename,strcat('E',num2str(s),':EB',num2str(s)));
for i=1:m % m=number of rows in my_second_file.xlsx
filename1 = 'my_second_file.xlsx';
row2 = xlsread(filename1, strcat('A',num2str(i),':DX',num2str(i)));
sqE=norm(row2-row1);
R(i) = sqE;
end
[Val Ind] = min(R);
ran=sprintf('%c%d','A',s);
xlswrite(Hello, [Val, Ind],resultsheet,ran);
end
Accepted Answer
More Answers (1)
Joseph Cheng
on 8 Sep 2014
0 votes
before the for loop read all the data from row 1 to row m from my_second_file.xlsx into matlab and then reference that data in the loop. it should reduce the time from opening and reading from the excel file in each for loop.
2 Comments
Muhammad Usman
on 8 Sep 2014
Joseph Cheng
on 8 Sep 2014
you basically did so before. just as you're reading in one line at a time. read in the whole thing like Mischa Kim described. so instead of reading in each row read in the whole block
XLS1= xlsread(filename,strcat('E',num2str(1),':EB',num2str(n)));
XLS2 = xlsread(filename1, strcat('A',num2str(1),':DX',num2str(m)));
Then you you can reference them like any 2D array in matlab.
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