对于给定的A (i,:)
,A= nchoosek(1:m,n)
和i
,我想找到m
,其中n
。 MATLAB的这个命令耗费时间和内存,特别适用于大m
。所以,我不想构建整个A
。我想只构建i
的行A
。
虽然我的问题似乎与“Combinations from a given set without repetition”重复,但它们不同。它只为A = nchoosek(1:m,2)
提供了可接受的结果,并且不包括两列以上。
答案 0 :(得分:2)
我找到了similar question on SO并在MATLAB中实现了提议的解决方案:
function [result] = kth_combination(k,l,r)
if r == 0
result = [];
elseif size(l,2) == r
result = l;
else
i = nchoosek(size(l,2)-1,r-1);
if k < i+1
result = [l(1), kth_combination(k, l(2:end), r-1)];
else
result = kth_combination(k-i, l(2:end), r);
end
end
end
MATLAB File Exchange上还有另一种解决方案,它不基于递归:onecomb
为了比较3个解决方案,我创建了这个基准函数:
function [time_1,time_2, time_3] = compare_solutions(m,n,i,num_runs)
time_1 = 0;
time_2 = 0;
time_3 = 0;
for run=1:num_runs
tic
A=nchoosek(1:m,n);
res_1 = A(i,:);
time_1 = time_1 + toc;
tic
res_2 = kth_combination(i,1:m,n);
time_2 = time_2 + toc;
tic
res_3 = onecomb(m,n,i);
time_3 = time_3 + toc;
if (run==1) && (sum(res_1 ~= res_2) || sum(res_1 ~= res_3))
error('solutions are NOT identical');
end
end
time_1 = time_1/num_runs;
time_2 = time_2/num_runs;
time_3 = time_3/num_runs;
end
示例运行:
>> [time_1,time_2, time_3] = compare_solutions(20,10,10,10)
time_1 =
1.9676
time_2 =
6.8508e-04
time_3 =
7.1848e-05
第二和第三种解决方案比nchoosek方法更快,与递归方法相比,非递归方法甚至更快10倍。