The Longest Common Prefix (LCP) problem involves finding the longest prefix that is common to all strings in a given array. This is a fundamental problem in computer science, often used in algorithms related to string processing.
LCP is widely used in applications such as autocompletion, DNA sequencing, and text processing. It serves as a building block for more complex string matching algorithms.
Given the strings ["flower", "flow", "flight"], the longest common prefix is "fl".
The strings share the prefix "fl". This is determined by comparing characters from each string until a mismatch is found.
public class LCPExample {
public static String longestCommonPrefix(String[] strs) {
if (strs == null || strs.length == 0) return "";
String prefix = strs[0];
for (int i = 1; i < strs.length; i++)
while (strs[i].indexOf(prefix) != 0)
prefix = prefix.substring(0, prefix.length() - 1);
return prefix;
}
public static void main(String[] args) {
String[] words = {"flower", "flow", "flight"};
System.out.println("Longest Common Prefix: " + longestCommonPrefix(words));
}
}
Console Output:
Longest Common Prefix: fl
Given the strings ["interspecies", "interstellar", "interstate"], the longest common prefix is "inters".
Despite different lengths, the prefix "inters" is common to all strings, highlighting the importance of character-wise comparison.
public class LCPExample {
public static String longestCommonPrefix(String[] strs) {
if (strs == null || strs.length == 0) return "";
String prefix = strs[0];
for (int i = 1; i < strs.length; i++)
while (strs[i].indexOf(prefix) != 0)
prefix = prefix.substring(0, prefix.length() - 1);
return prefix;
}
public static void main(String[] args) {
String[] words = {"interspecies", "interstellar", "interstate"};
System.out.println("Longest Common Prefix: " + longestCommonPrefix(words));
}
}
Console Output:
Longest Common Prefix: inters
Given the strings ["dog", "racecar", "car"], there is no common prefix.
The strings do not share a starting sequence of characters, resulting in an empty prefix.
public class LCPExample {
public static String longestCommonPrefix(String[] strs) {
if (strs == null || strs.length == 0) return "";
String prefix = strs[0];
for (int i = 1; i < strs.length; i++)
while (strs[i].indexOf(prefix) != 0)
prefix = prefix.substring(0, prefix.length() - 1);
return prefix;
}
public static void main(String[] args) {
String[] words = {"dog", "racecar", "car"};
System.out.println("Longest Common Prefix: " + longestCommonPrefix(words));
}
}
Console Output:
Longest Common Prefix:
Given the strings ["see", "see", "see"], the longest common prefix is "see".
All strings are identical, so the entire string is the common prefix.
public class LCPExample {
public static String longestCommonPrefix(String[] strs) {
if (strs == null || strs.length == 0) return "";
String prefix = strs[0];
for (int i = 1; i < strs.length; i++)
while (strs[i].indexOf(prefix) != 0)
prefix = prefix.substring(0, prefix.length() - 1);
return prefix;
}
public static void main(String[] args) {
String[] words = {"see", "see", "see"};
System.out.println("Longest Common Prefix: " + longestCommonPrefix(words));
}
}
Console Output:
Longest Common Prefix: see
Given the strings ["a", "a", "b"], there is no common prefix.
Although two strings are identical, the presence of a different character string results in no common prefix.
public class LCPExample {
public static String longestCommonPrefix(String[] strs) {
if (strs == null || strs.length == 0) return "";
String prefix = strs[0];
for (int i = 1; i < strs.length; i++)
while (strs[i].indexOf(prefix) != 0)
prefix = prefix.substring(0, prefix.length() - 1);
return prefix;
}
public static void main(String[] args) {
String[] words = {"a", "a", "b"};
System.out.println("Longest Common Prefix: " + longestCommonPrefix(words));
}
}
Console Output:
Longest Common Prefix:
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