字符串匹配KMP算法

KMP算法

KMP算法主要维护了一个最长前后缀的表,当待匹配串和匹配串的指针一起向前退的时候,遇到不相等的字符,待匹配串不用再回到起始位置的下一个位置重新匹配(暴力匹配),只需要查表更改匹配串的匹配指针继续向下走即可,从而将n*m的复杂度降低为接近n的复杂度。

实际代码

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interface IMatch{
int find();
}
class BaoLi implements IMatch{
private String text;
private String pattern;

public BaoLi(String text, String pattern) {
this.text = text;
this.pattern = pattern;
}

@Override
public int find() {
int m = text.length();
int n = pattern.length();
int i = 0;
while (i < m){
int start = i;
int j = 0;
while(text.charAt(i) == pattern.charAt(j)){
if(j == n-1)
return start;
i++;
j++;
}
i = ++start;
}
return -1;
}
}

public class KMP implements IMatch{
private String text;
private String pattern;
private int[] prefixTable;

public KMP(String text, String pattern) {
this.text = text;
this.pattern = pattern;
prefixTable = new int[pattern.length()];
createPrefixTable();
movePrefixTable();
}

@Override
public int find() {
int i = 0; // 这是指着text串的指针
int j = 0; // 这是指着pattern串的指针
int m = text.length();
int n = pattern.length();
while (i < m) {
if (j == n - 1 && text.charAt(i) == pattern.charAt(j))
return i - n + 1;
if (text.charAt(i) == pattern.charAt(j)) {
i++;
j++;
} else {
j = prefixTable[j];
if (j == -1) {
i++;
j++;
}
}
}
return -1;
}

private void createPrefixTable() {
prefixTable[0] = 0;
int len = 0;
int i = 1;
while (i < pattern.length()) {
if (pattern.charAt(i) == pattern.charAt(len)) {
prefixTable[i++] = ++len;
} else {
if (len > 0) {
// 关键
len = prefixTable[len - 1];
} else {
prefixTable[i] = len;
i++;
}
}
}
}

private void movePrefixTable() {
int i;
for (i = prefixTable.length - 1; i > 0; i--) {
prefixTable[i] = prefixTable[i - 1];
}
prefixTable[0] = -1;
}

public static void main(String[] args) {
String s1 = "aaaaaaaaasastiii";
String s2 = "aaas";
IMatch match1 = new KMP(s1, s2);
IMatch match2 = new BaoLi(s1,s2);

System.out.println(s1 + " " + s2 + " : " + match1.find());

System.out.println(s1 + " " + s2 + " : " + match2.find());

}
}

字符串匹配KMP算法
https://blog.wangxk.cc/2020/10/04/字符串匹配KMP算法/
作者
Mike
发布于
2020年10月4日
许可协议