Longest Common Prefix in DSA Java - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the Longest Common Prefix (LCP) in a list of strings?

The Longest Common Prefix is the longest starting substring that is common to all strings in the list. For example, for ["flower", "flow", "flight"], the LCP is "fl".

beginner

How can you find the Longest Common Prefix by comparing characters?

Compare characters of the first string with the corresponding characters of all other strings one by one until a mismatch is found or the end of the first string is reached. The matched part is the LCP.

intermediate

What is the time complexity of the straightforward approach to find the Longest Common Prefix?

The time complexity is O(S), where S is the sum of all characters in all strings. This is because in the worst case, all characters of all strings are compared.

intermediate

Why is it helpful to sort the list of strings when finding the Longest Common Prefix?

Sorting puts strings with similar prefixes next to each other. The LCP of the whole list is the LCP of the first and last strings after sorting, reducing comparisons.

beginner

What should be returned if the input list of strings is empty when finding the Longest Common Prefix?

Return an empty string "" because there are no strings to compare, so no common prefix exists.

What is the Longest Common Prefix of ["dog", "racecar", "car"]?

A "" (empty string)

B "c"

C "d"

D "r"

These strings have no common starting substring, so the LCP is an empty string.

Which approach is simplest to find the Longest Common Prefix?

A Compare characters of all strings one by one

B Use binary search on string lengths

C Sort strings and compare first and last

D Use a hash map to count prefixes

The simplest approach is to compare characters of all strings one by one until a mismatch.

If the first string is "flower" and the second string is "flow", what is their Longest Common Prefix?

A "flo"

B "flow"

C "flower"

D "fl"

The second string "flow" is fully a prefix of the first string "flower", so LCP is "flow".

What should be the output if the input list contains only one string?

A Null

B Empty string

C The string itself

D First character of the string

If there is only one string, the LCP is the string itself.

What is the worst-case time complexity for finding the Longest Common Prefix?

A O(n)

B O(m)

C O(n*m)

D O(S) where S is total characters in all strings

Worst case compares all characters in all strings, so O(S) where S is total characters.

Explain how to find the Longest Common Prefix in a list of strings using character-by-character comparison.

Think about checking each character position across all strings.

Describe an optimization using sorting to find the Longest Common Prefix.

Sorting groups similar prefixes together.

Practice

1. What does the Longest Common Prefix (LCP) of a list of strings represent?

easy

A. The longest substring found anywhere in all strings

B. The longest ending substring common to all strings

C. The longest starting substring common to all strings

D. The shortest substring common to any two strings

Solution

1. Step 1: Understand the prefix concept

   A prefix is a substring starting at the beginning of a string.

2. Step 2: Define longest common prefix

   The longest common prefix is the longest substring starting at the beginning that all strings share.

3. Final Answer:

   The longest starting substring common to all strings -> Option C

4. Quick Check:

   Prefix means start of string = longest common start [OK]

Hint: Longest common prefix starts at string beginnings [OK]

Common Mistakes:

• Confusing prefix with substring anywhere
• Thinking it is the longest suffix
• Mixing prefix with shortest substring

2. Which of the following Java method signatures is correct for a function that finds the longest common prefix of an array of strings named strs?

easy

A. public String longestCommonPrefix(String[] strs)

B. public void longestCommonPrefix(String[] strs)

C. public int longestCommonPrefix(String[] strs)

D. public String longestCommonPrefix(List<String> strs)

Solution

1. Step 1: Identify return type for prefix

   The longest common prefix is a string, so return type must be String.

2. Step 2: Check parameter type

   The input is an array of strings, so parameter type is String[].

3. Final Answer:

   public String longestCommonPrefix(String[] strs) -> Option A

4. Quick Check:

   Return String, input String[] = public String longestCommonPrefix(String[] strs) [OK]

Hint: Return type matches prefix type; input is String array [OK]

Common Mistakes:

• Using void return type instead of String
• Returning int instead of String
• Using List<String> instead of String[]

3. What is the output of the following Java code?

public class Test {
  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].startsWith(prefix)) {
        prefix = prefix.substring(0, prefix.length() - 1);
        if (prefix.isEmpty()) return "";
      }
    }
    return prefix;
  }
  public static void main(String[] args) {
    String[] input = {"flower", "flow", "flight"};
    System.out.println(longestCommonPrefix(input));
  }
}

medium

A. "flow"

B. "fl"

C. "f"

D. ""

Solution

1. Step 1: Initialize prefix and check each string

   Start with prefix = "flower". Check "flow": "flow" starts with "flower"? No, shorten prefix to "flowe", then "flow", which matches.

2. Step 2: Check next string "flight"

   "flight" starts with "flow"? No, shorten prefix to "flo", then "fl", which matches.

3. Final Answer:

   "fl" -> Option B

4. Quick Check:

   Common start of all strings = "fl" [OK]

Hint: Shorten prefix until all strings start with it [OK]

Common Mistakes:

• Returning first string without checking others
• Not shortening prefix correctly
• Returning empty string too early

4. Identify the error in the following Java method for finding the longest common prefix:

public String longestCommonPrefix(String[] strs) {
  if (strs.length == 0) return null;
  String prefix = strs[0];
  for (int i = 1; i <= strs.length; i++) {
    while (!strs[i].startsWith(prefix)) {
      prefix = prefix.substring(0, prefix.length() - 1);
      if (prefix.isEmpty()) return "";
    }
  }
  return prefix;
}

medium

A. The substring method is used incorrectly

B. The method should return null instead of empty string when no prefix

C. The prefix should be initialized as an empty string

D. The loop condition should be i < strs.length, not i <= strs.length

Solution

1. Step 1: Check loop bounds

   The for loop uses i <= strs.length, which causes ArrayIndexOutOfBoundsException because valid indices are 0 to strs.length - 1.

2. Step 2: Correct loop condition

   Change to i < strs.length to avoid accessing invalid index.

3. Final Answer:

   The loop condition should be i < strs.length, not i <= strs.length -> Option D

4. Quick Check:

   Array indices go from 0 to length-1 [OK]

Hint: Loop index must be less than array length [OK]

Common Mistakes:

• Using i <= length causing runtime error
• Returning null instead of empty string
• Incorrect substring usage

5. Given the array String[] words = {"interview", "interrupt", "integrate", "integral"};, which of the following modifications to the longest common prefix algorithm will correctly find the prefix "int" even if some strings are empty or null?

hard

A. Add checks to skip null or empty strings before comparing prefixes

B. Return the first string immediately if any string is null or empty

C. Ignore the first string and start prefix from the second string

D. Use the longest string as the initial prefix instead of the first string

Solution

1. Step 1: Understand problem with null or empty strings

   Null or empty strings cause errors or incorrect prefix results if not handled.

2. Step 2: Modify algorithm to skip or handle null/empty

   Check each string before comparing; skip or handle null/empty to avoid errors and find correct prefix.

3. Final Answer:

   Add checks to skip null or empty strings before comparing prefixes -> Option A

4. Quick Check:

   Handle null/empty strings safely to find correct prefix [OK]

Hint: Always check for null or empty strings before prefix checks [OK]

Common Mistakes:

• Not handling null causing exceptions
• Returning first string without checks
• Starting prefix from wrong string