Any way how to go around the memory issue?

I am running a program with the following code

ntimemax=10000000; ngroupmax=300; dtime=0.0001; qmax1 = 10.2;
% define output interval and number of output data
doutput=1; noutput=(ntimemax-1)/doutput+1; 

NMG2=zeros(noutput,ngroupmax); 
NGT2=zeros(noutput,1); NMGT2=zeros(noutput,1);  Num2 = zeros(noutput,1);

ntime=zeros(noutput,1); NG=zeros(noutput,ngroupmax); NMG=zeros(noutput,ngroupmax); 
NGT=zeros(noutput,1); NMGT=zeros(noutput,1); 

And this error shows up:

Out of memory. Type "help memory" for your options.
Error in new_2020_paper_results (line 38)
ntime=zeros(noutput,1); NG=zeros(noutput,ngroupmax);
NMG=zeros(noutput,ngroupmax);

Any way t solve this problem?

[Chunru]

ntimemax=10000000; ngroupmax=300; dtime=0.0001; qmax1 = 10.2;
doutput=1; noutput=(ntimemax-1)/doutput+1;
% The size of NMG2=zeros(noutput,ngroupmax); 
noutput * ngroupmax

ans = 3.0000e+09

A single matrix of this need 3G*8(bytes per data)=24GB of memory. You have a number of such data array. That requires a lot of memory. Try to reduce the size of the array to what is absolutely necessary.

Answer 1

[Matt J]

Will the matrices be sparse? If so, use sparse() to build them.