Reputation: 563
M
is a matrix 4x2000000
composed of several submatrix Ai
such that Ai(1:3,j)
is the same vector for j = 1,...,size(Ai,2)
. and Ai(4,j)
are values between 1
and 100
.
V = [2 15 21 43]
my goal is to eliminate all sub-matrix Ai
of M
, if Ai(4,:)
does not contain all the values of V
.
The only initial data for this problem are M
and V
Example:
M = [1022 3001 4451 1022 1022 3001 1022 3001 3001 1022;
112 45 10 112 112 45 11 45 99 112;
500 11 55 500 500 11 88 11 1 500;
2 6 3 5 71 2 2 71 5 88]
A1 = [1022 1022 1022 1022;
112 112 112 112;
500 500 500 500;
2 5 71 88]
A2 = [3001 3001 3001;
45 45 45;
11 11 11;
6 2 71]
A3 = [4451;
10;
55;
3]
A4 = [1022;
11;
88;
2]
A5 =[3001;
99;
1;
5]
if V = [2 71]
The expected output (order of columns is not important):
[1022 1022 1022 1022 3001 3001 3001;
112 112 112 112 45 45 45;
500 500 500 500 11 11 11;
2 5 71 88 6 2 71]
Upvotes: 0
Views: 62
Reputation: 221624
One approach -
[~,~,idx] = unique(M(1:3,:)','rows') %//'
valid = ismember(M(4,:),V)
valid_idx = accumarray(idx(valid),M(4,valid).',[],@(x) ...
numel(unique(x)))>=numel(V) %//'
out = M(:,ismember(idx,find(valid_idx)))
Upvotes: 3