基于DFA的KMP实现是否比标准实现更有效?
这种基于确定性有限状态自动机的KMP算法的复杂性是多少?它是否比标准的非自动机版KMP算法更有效?
class KMP {
private final int R;
private int[][] dfa;
private String pat;
public KMP(String pat) {
this.R = 256;
this.pat = pat;
int M = pat.length();
dfa = new int[R][M];
dfa[pat.charAt(0)][0] = 1;
for (int X = 0, j = 1; j < M; j++) {
for (int c = 0; c < R; c++)
dfa[c][j] = dfa[c][X];
dfa[pat.charAt(j)][j] = j+1;
X = dfa[pat.charAt(j)][X];
}
}
public int search(String txt) {
int M = pat.length();
int N = txt.length();
int i, j;
for (i = 0, j = 0; i < N && j < M; i++) {
j = dfa[txt.charAt(i)][j];
}
if (j == M) return i - M;
return -1;
}
}
测试:
// test KMP DFA
KMP p = new KMP("abacab");
System.out.println("KMPDfa: " + p.search("ababbadabacabcbabac"));
output: 7
没有找到相关结果
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