swh:1:snp:4fe623f11066498dcc10ad18e781b92aa0cfdd0f
Tip revision: d4e8232dbce07919f500e306f2d771f22113e17c authored by Christopher McFarland on 04 July 2019, 14:14:36 UTC
for quality test
for quality test
Tip revision: d4e8232
timings.m
N_trials = 30;
N_variates = [1, 100000000];
functions = {'exprnd', 'randn', 'rand'};
for i = 1:size(functions, 2)
temp1 = str2func(['fast_', functions{i}]);
temp2 = str2func(functions{i});
if strcmp(functions{i}, 'exprnd')
fh1 = @() temp1(1, N_variates);
fh2 = @() temp2(1, N_variates);
else
fh1 = @() temp1(N_variates);
fh2 = @() temp2(N_variates);
end
for j = 1:N_trials
tic;
x = fh1();
times1(j) = toc;
tic;
x = fh2();
times2(j) = toc;
%times1(j) = timeit(fh1, 1);
%times2(j) = timeit(fh2, 1);
end
disp(['New ' functions{i} ' median runtime (s):']);
disp(median(times1));
disp(['Existing ' functions{i} ' median runtime (s):']);
disp(median(times2));
end