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DSA Course: Interview Patterns and Problem Solving
Module 9: Hashing & Prefix Sum
Best Time to Buy and Sell Stock: Greedy Pattern
Maximum Subarray: Kadane Pattern
Move Zeroes: Two pointers Pattern
Contains Duplicate: Set Pattern
Valid Anagram: Frequency map Pattern
Longest Substring Without Repeating Characters: Sliding window Pattern
Valid Palindrome: Two pointers Pattern
Longest Palindromic Substring: Expand around center Pattern
Group Anagrams: Hash key Pattern
Binary Search: Classic search Pattern
Search Insert Position: Lower bound Pattern
First Bad Version: Predicate search Pattern
Search in Rotated Sorted Array: Rotated search Pattern
Find Minimum in Rotated Sorted Array: Rotated minimum Pattern
Valid Parentheses: Stack matching Pattern
Min Stack: Auxiliary stack Pattern
Daily Temperatures: Monotonic stack Pattern
Next Greater Element I: Monotonic stack Pattern
Evaluate Reverse Polish Notation: Stack evaluation Pattern
Reverse Linked List: Pointer reversal Pattern
Merge Two Sorted Lists: Dummy node Pattern
Linked List Cycle: Fast and slow pointers Pattern
Middle of the Linked List: Fast and slow pointers Pattern
Remove Nth Node From End: Two pointers Pattern
Binary Tree Traversals: DFS recursion Pattern
Maximum Depth of Binary Tree: Height recursion Pattern
Binary Tree Level Order Traversal: BFS queue Pattern
Validate Binary Search Tree: Range bounds Pattern
Lowest Common Ancestor: Recursive split Pattern
Connected Components: Adjacency DFS Pattern
Number of Islands: Grid DFS Pattern
Flood Fill: Boundary DFS Pattern
Clone Graph: Hash Map DFS Pattern
Course Schedule: Topological Sort Pattern
Union Find Components: Disjoint Set Pattern
Shortest Path in Unweighted Graph: BFS Distance Pattern
Climbing Stairs: Fibonacci DP Pattern
House Robber: Pick or Skip DP Pattern
Coin Change: Minimum Coins DP Pattern
Longest Increasing Subsequence: Binary Search DP Pattern
Longest Common Subsequence: 2D DP Pattern
0/1 Knapsack: Capacity DP Pattern
Longest Consecutive Sequence: Hash Set Pattern
Subarray Sum Equals K: Prefix Sum Hashmap Pattern
First Unique Character: Frequency Map Pattern
Find Duplicates: Frequency Map Pattern
Ransom Note: Character Availability Pattern
Sort Colors: Dutch National Flag Pattern
Next Permutation: Pivot and Suffix Reversal Pattern
Merge Intervals: Sort and Sweep Pattern
Find First and Last Position: Boundary Binary Search Pattern
Search a 2D Matrix: Flattened Binary Search Pattern
Subsets: Pick or Skip Recursion Pattern
Generate Parentheses: Valid State Backtracking Pattern
Combination Sum: Reuse Choice Backtracking Pattern
N-Queens: Constraint Backtracking Pattern
Word Search: Grid Backtracking Pattern
Kth Largest Element: Size-K Min-Heap Pattern
Top K Frequent Elements: Frequency Heap Pattern
Merge K Sorted Lists: Min-Heap Multiway Merge Pattern
Median Finder: Two Heaps Pattern
Task Scheduler: Greedy Max-Heap Pattern
Jump Game: Farthest Reach Greedy Pattern
Gas Station: Greedy Reset Pattern
Non-overlapping Intervals: Earliest End Greedy Pattern
Minimum Arrows to Burst Balloons: Interval End Greedy Pattern
Partition Labels: Last Occurrence Greedy Pattern
Single Number: XOR Cancellation Pattern
Power of Two: n and n-1 Pattern
Number of 1 Bits: Brian Kernighan Pattern
Single Number III: Rightmost Set Bit Pattern
XOR From 1 to N: Modulo Cycle Pattern
Prime Check: Square Root Trial Division Pattern
Sieve of Eratosthenes: Prime Marking Pattern
GCD: Euclidean Remainder Pattern
Binary Exponentiation: Fast Power Pattern
Modular Inverse: Extended Euclid Pattern
Implement Trie: Prefix Tree Pattern
Longest Common Prefix: Single Branch Trie Pattern
LRU Cache: Hash Map Plus Recency List Pattern
Segment Tree: Range Sum Query Pattern
Fenwick Tree: Binary Indexed Prefix Sum Pattern
CONTENTS

Ransom Note: Character Availability Pattern

Check whether one string can be built from another using counts.

DSA Course: Interview Patterns and Problem Solving
Module 9: Hashing & Prefix Sum
dsa
hashing-prefix-sum
+1
May 29, 2026
23
A

Learning Outcome

After this lesson, you should be able to use a frequency table as an availability inventory and consume characters safely.

Problem Statement

Given ransomNote and magazine, return true if ransomNote can be constructed using each magazine character at most once.

InputOutputWhy
ransomNote = "aa", magazine = "aab"trueThe magazine has two a characters, enough to build aa.

Brute Force Approach

For each ransom character, scan the magazine for an unused matching character. This is slow and awkward to track.

Optimized Approach

Count magazine characters once. For each ransom character, decrement its available count and fail immediately if it goes below zero.

Exact Pseudocode

freq = counts of magazine
for ch in ransomNote:
  freq[ch] -= 1
  if freq[ch] < 0:
    return false
return true

Reference Code

class Solution:
    def canConstruct(self, ransomNote, magazine):
        freq = {}
        for ch in magazine:
            freq[ch] = freq.get(ch, 0) + 1

        for ch in ransomNote:
            freq[ch] = freq.get(ch, 0) - 1
            if freq[ch] < 0:
                return False

        return True

Sample Dry Run

StepStateResult
Count magazinea:2, b:1Availability ready
Need first aa count becomes 1Still possible
Need second aa count becomes 0Still possible
FinishNo shortage foundreturn true

Complexity

MeasureValueReason
TimeO(n + m)Both strings are scanned once.
SpaceO(1)For lowercase English letters, the frequency array has fixed size.

Edge Cases

  • An empty ransom note returns true.
  • Repeated needed characters require repeated availability.
  • Set membership alone is not enough.

Interview Checklist

  • Count magazine, not ransomNote, as the available inventory.
  • Fail as soon as a count goes below zero.
  • Use the right character range for the prompt.

FAQs

Why not use a set?

A set only says whether a character exists, not how many copies are available.

Why decrement while scanning ransomNote?

It simulates consuming each required character once.

What is the core pattern?

Frequency availability counting.

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Ransom Note - Character Availability Pattern Practice Quiz
5 questions8 min

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Lesson 5 of 5 in Module 9: Hashing & Prefix Sum
Previous in Module 9: Hashing & Prefix Sum
Find Duplicates: Frequency Map Pattern
Next section: Module 10: Sorting & Searching
Sort Colors: Dutch National Flag Pattern
Module 10: Sorting & Searching
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