不同的子序列
阿新 • • 發佈:2018-12-10
The idea is the following:
- we will build an array
mem
wheremem[i+1][j+1]
means thatS[0..j]
containsT[0..i]
that many times as distinct subsequences. Therefor the result will bemem[T.length()][S.length()]
. - we can build this array rows-by-rows:
- the first row must be filled with 1. That's because the empty string is a subsequence of any string but only 1 time. So
mem[0][j] = 1
j
. So with this we not only make our lives easier, but we also return correct value ifT
is an empty string. - the first column of every rows except the first must be 0. This is because an empty string cannot contain a non-empty string as a substring -- the very first item of the array:
mem[0][0] = 1
So the matrix looks like this:
S 0123....j
T +----------+
|1111111111|
0 |0 |
1 |0 |
2 |0 |
. |0 |
. |0 |
i |0 |
From here we can easily fill the whole grid: for each (x, y)
, we check if S[x] == T[y]
- if the current character in S doesn't equal to current character T, then we have the same number of distinct subsequences as we had without the new character.
- if the current character in S equal to the current character T, then the distinct number of subsequences: the number we had before plus the distinct number of subsequences we had with less longer T and less longer S.
An example:S: [acdabefbc]
and T: [ab]
first we check with a
:
* *
S = [acdabefbc]
mem[1] = [0111222222]
then we check with ab
:
* * ]
S = [acdabefbc]
mem[1] = [0111222222]
mem[2] = [0000022244]
And the result is 4, as the distinct subsequences are:
S = [a b ]
S = [a b ]
S = [ ab ]
S = [ a b ]
See the code in Java:
public int numDistinct(String S, String T) {
// array creation
int[][] mem = new int[T.length()+1][S.length()+1];
// filling the first row: with 1s
for(int j=0; j<=S.length(); j++) {
mem[0][j] = 1;
}
// the first column is 0 by default in every other rows but the first, which we need.
for(int i=0; i<T.length(); i++) {
for(int j=0; j<S.length(); j++) {
if(T.charAt(i) == S.charAt(j)) {
mem[i+1][j+1] = mem[i][j] + mem[i+1][j];
} else {
mem[i+1][j+1] = mem[i+1][j];
}
}
}
return mem[T.length()][S.length()];
}