Coin Change Minimum Coins in DSA C# - Time & Space Complexity

Time Complexity: Coin Change Minimum Coins

O(amount x number_of_coins)

Understanding Time Complexity

We want to know how the time needed to find the minimum coins changes as we increase the amount or the coin types.

How does the algorithm's work grow when the input gets bigger?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

int MinCoins(int[] coins, int amount) {
    int[] dp = new int[amount + 1];
    Array.Fill(dp, amount + 1);
    dp[0] = 0;
    for (int i = 1; i <= amount; i++) {
        foreach (int coin in coins) {
            if (coin <= i) {
                dp[i] = Math.Min(dp[i], 1 + dp[i - coin]);
            }
        }
    }
    return dp[amount] > amount ? -1 : dp[amount];
}
    

This code finds the minimum number of coins needed to make a given amount using dynamic programming.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: Nested loops - outer loop runs over amounts from 1 to amount, inner loop runs over all coin types.
• How many times: Outer loop runs amount times, inner loop runs coins.Length times for each outer iteration.

How Execution Grows With Input

As the amount grows, the outer loop runs more times. For each amount, we check all coins.

Input Size (amount)	Approx. Operations
10	10 x number of coins
100	100 x number of coins
1000	1000 x number of coins

Pattern observation: The work grows linearly with the amount and linearly with the number of coin types.

Final Time Complexity

Time Complexity: O(amount x number_of_coins)

This means the time needed grows proportionally with the amount and the number of coin types.

Common Mistake

[X] Wrong: "The algorithm runs in constant time because it just loops once."

[OK] Correct: The algorithm has two loops nested: one over the amount and one over the coins, so time grows with both.

Interview Connect

Understanding this time complexity helps you explain how your solution scales and why dynamic programming is efficient here.

Self-Check

"What if we sorted the coins and stopped checking when coin > current amount? How would the time complexity change?"

Practice

1. What does the "Coin Change Minimum Coins" problem ask you to find?
Given coins and an amount, find the minimum number of coins needed to make that amount.

easy

A. The smallest number of coins needed to make the amount

B. The total value of all coins

C. The maximum number of coins that can be used

D. The number of different coin types

Solution

1. Step 1: Understand the problem goal

   The problem asks for the minimum number of coins needed to make a given amount using available coin denominations.

2. Step 2: Clarify what is asked

   We want the smallest count of coins that sum exactly to the amount, not total value or max coins.

3. Final Answer:

   The smallest number of coins needed to make the amount -> Option A

4. Quick Check:

   Minimum coins = smallest count [OK]

Hint: Focus on minimum count, not total value or types [OK]

Common Mistakes:

• Confusing minimum coins with total coin value
• Thinking about maximum coins instead of minimum
• Counting coin types instead of coin quantity

2. Which of the following C# code snippets correctly initializes an array to store minimum coins for amounts 0 to 5, setting 0 coins for amount 0 and a large number for others?

easy

A. int[] minCoins = new int[5] {0, int.MaxValue, int.MaxValue, int.MaxValue, int.MaxValue};

B. int[] minCoins = new int[6] {0, int.MaxValue, int.MaxValue, int.MaxValue, int.MaxValue, int.MaxValue};

C. int[] minCoins = new int[6]; for(int i=1; i<=5; i++) minCoins[i] = 0;

D. int[] minCoins = new int[6]; minCoins[0] = int.MaxValue;

Solution

1. Step 1: Check array size and initialization

   We need an array of size 6 for amounts 0 to 5. Amount 0 requires 0 coins, others start with a large number.

2. Step 2: Verify each option

   int[] minCoins = new int[6] {0, int.MaxValue, int.MaxValue, int.MaxValue, int.MaxValue, int.MaxValue}; correctly initializes size 6 with 0 at index 0 and int.MaxValue for others. Others either have wrong size or wrong initialization.

3. Final Answer:

   int[] minCoins = new int[6] {0, int.MaxValue, int.MaxValue, int.MaxValue, int.MaxValue, int.MaxValue}; -> Option B

4. Quick Check:

   Array size 6, 0 at start, max values after [OK]

Hint: Array size = amount + 1, 0 coins for amount 0 [OK]

Common Mistakes:

• Using wrong array size
• Setting 0 coins for all amounts
• Setting int.MaxValue for amount 0

3. What is the output of the following C# code?

int[] coins = {1, 3, 4};
int amount = 6;
int[] minCoins = new int[amount + 1];
for (int i = 1; i <= amount; i++) minCoins[i] = int.MaxValue;

for (int i = 1; i <= amount; i++) {
    foreach (int coin in coins) {
        if (coin <= i && minCoins[i - coin] != int.MaxValue) {
            minCoins[i] = Math.Min(minCoins[i], minCoins[i - coin] + 1);
        }
    }
}
Console.WriteLine(minCoins[amount]);

medium

A. 3

B. int.MaxValue

C. 4

D. 2

Solution

1. Step 1: Initialize minCoins array

   minCoins[0] = 0 (default), others set to int.MaxValue initially.

2. Step 2: Calculate minCoins for amounts 1 to 6

   For amount 6, check coins 1,3,4:
   - Using coin 1: minCoins[5] + 1
   - Using coin 3: minCoins[3] + 1
   - Using coin 4: minCoins[2] + 1
   Calculations:
   minCoins[1] = 1 (coin 1)
   minCoins[2] = 2 (1+1)
   minCoins[3] = 1 (coin 3)
   minCoins[4] = 1 (coin 4)
   minCoins[5] = 2 (3+1 or 4+1)
   minCoins[6] = min(minCoins[5]+1, minCoins[3]+1, minCoins[2]+1) = min(3, 2, 3) = 2

3. Final Answer:

   2 -> Option D

4. Quick Check:

   Minimum coins for 6 = 2 (3+3 or 4+1+1) [OK]

Hint: Trace minCoins array updates stepwise [OK]

Common Mistakes:

• Not updating minCoins correctly
• Ignoring int.MaxValue checks
• Miscounting coin combinations

4. Identify the error in this C# code snippet for minimum coin change and select the fix:

int[] coins = {1, 2, 5};
int amount = 11;
int[] minCoins = new int[amount + 1];
for (int i = 1; i <= amount; i++) minCoins[i] = int.MaxValue;

for (int i = 1; i <= amount; i++) {
    foreach (int coin in coins) {
        if (coin < i && minCoins[i - coin] != int.MaxValue) {
            minCoins[i] = Math.Min(minCoins[i], minCoins[i - coin] + 1);
        }
    }
}
Console.WriteLine(minCoins[amount]);

medium

A. Change loop to start from i = 0 instead of 1

B. Initialize minCoins array with zeros instead of int.MaxValue

C. Change 'coin < i' to 'coin <= i' in the if condition

D. Remove the if condition inside the foreach loop

Solution

1. Step 1: Analyze the if condition

   The condition 'coin < i' excludes cases where coin equals i, missing direct matches.

2. Step 2: Correct the condition

   Changing to 'coin <= i' allows using coins that exactly match the current amount, fixing the logic.

3. Final Answer:

   Change 'coin < i' to 'coin <= i' in the if condition -> Option C

4. Quick Check:

   Include coin equal to amount for correct min coins [OK]

Hint: Use <= to include exact coin matches [OK]

Common Mistakes:

• Using < instead of <= excludes valid coins
• Initializing minCoins incorrectly
• Removing necessary condition checks

5. You have coin denominations {2, 5, 10} and want to find the minimum coins for amount 7. Which approach correctly solves this using dynamic programming in C#?

hard

A. Initialize minCoins with 0 for amount 0 and int.MaxValue for others; update minCoins[i] by checking coins <= i and minCoins[i - coin] + 1

B. Initialize minCoins with zeros for all amounts; update minCoins[i] by adding 1 for each coin

C. Use recursion without memoization to find minimum coins

D. Initialize minCoins with int.MaxValue for all amounts including 0; update minCoins[i] by subtracting coin values

Solution

1. Step 1: Proper initialization

   Set minCoins[0] = 0 because zero coins are needed for amount 0; others set to int.MaxValue to represent unreachable amounts initially.

2. Step 2: Update minCoins using dynamic programming

   For each amount i, check each coin less than or equal to i. If minCoins[i - coin] is reachable, update minCoins[i] to the minimum of current value and minCoins[i - coin] + 1.

3. Final Answer:

   Initialize minCoins with 0 for amount 0 and int.MaxValue for others; update minCoins[i] by checking coins <= i and minCoins[i - coin] + 1 -> Option A

4. Quick Check:

   DP with correct initialization and update finds minimum coins [OK]

Hint: Initialize 0 for amount 0, update with min of previous +1 [OK]

Common Mistakes:

• Initializing all minCoins to zero
• Using recursion without memoization causing inefficiency
• Incorrectly updating minCoins by subtraction