Coin Change Minimum Coins in DSA Javascript - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the goal of the Coin Change Minimum Coins problem?

To find the smallest number of coins needed to make a given amount using available coin denominations.

intermediate

What approach is commonly used to solve the Coin Change Minimum Coins problem efficiently?

Dynamic programming is commonly used to build up solutions for smaller amounts to solve for the target amount efficiently.

beginner

In the dynamic programming solution, what does the dp array represent?

dp[i] represents the minimum number of coins needed to make the amount i.

beginner

Why do we initialize the dp array with a large number (like Infinity) except dp[0] = 0?

Because initially, we assume amounts are not reachable (Infinity), except 0 amount which requires 0 coins.

intermediate

What is the time complexity of the dynamic programming solution for Coin Change Minimum Coins?

O(n * amount), where n is the number of coin denominations and amount is the target amount.

What does dp[0] equal in the Coin Change Minimum Coins dynamic programming solution?

A -1

B Infinity

C 0

D 1

dp[0] = 0 because zero coins are needed to make amount zero.

If the amount is 5 and coins are [1, 2, 5], what is the minimum number of coins needed?

A 1

B 3

C 5

D 2

One coin of 5 makes the amount 5 with minimum coins.

Which of these is NOT a valid step in the dynamic programming solution?

A Use dp[i - coin] to update dp[i]

B For each coin, update dp for amounts >= coin value

C Set dp[0] = 0

D Initialize dp array with zeros for all amounts

dp array should be initialized with Infinity except dp[0], not zeros.

What does it mean if dp[amount] remains Infinity after processing?

A Amount can be made with given coins

B Amount cannot be made with given coins

C Amount is zero

D Coins are unlimited

Infinity means no combination of coins can make the amount.

What is the main idea behind using dynamic programming for this problem?

A Store minimum coins needed for smaller amounts to build up solution

B Try all combinations recursively without storing results

C Sort coins and pick the largest first

D Use greedy approach always

Dynamic programming stores results for smaller amounts to avoid repeated work.

Explain how the dynamic programming array is built for the Coin Change Minimum Coins problem.

Think about how smaller amounts help solve bigger amounts.

Describe what it means if the dp value for the target amount is still Infinity after processing all coins.

Infinity means no valid solution was found.

Practice

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

easy

A. Minimum number of coins needed to make the amount

B. Maximum number of coins that can be used

C. Total sum of all coin denominations

D. Number of different coin types available

Solution

1. Step 1: Understand the problem goal

   The problem asks for the fewest coins needed to reach a given amount using available coin denominations.

2. Step 2: Identify the correct interpretation

   Among the options, only the minimum number of coins needed matches the problem description.

3. Final Answer:

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

4. Quick Check:

   Minimum coins = problem goal [OK]

Hint: Focus on 'minimum coins' needed, not total or max coins [OK]

Common Mistakes:

• Confusing minimum with maximum coins
• Thinking about total sum of coins instead of count
• Ignoring the amount to be formed

2. Which of the following is the correct way to initialize the DP array for the Coin Change Minimum Coins problem in JavaScript?
const dp = new Array(amount + 1).fill(____);

easy

A. null

B. 0

C. -1

D. Infinity

Solution

1. Step 1: Understand DP array initialization

   We initialize dp array with Infinity to represent that initially no amount can be formed except 0.

2. Step 2: Confirm correct fill value

   Filling with Infinity helps us find minimum coins by comparing and updating values.

3. Final Answer:

   Infinity -> Option D

4. Quick Check:

   DP array filled with Infinity for min comparisons [OK]

Hint: Use Infinity to represent impossible amounts initially [OK]

Common Mistakes:

• Using 0 which implies amount can be formed with zero coins
• Using -1 which is not suitable for min comparisons
• Using null which causes errors in calculations

3. What will be the output of the following code?

const coins = [1, 2, 5];
const amount = 11;
function minCoins(coins, amount) {
  const dp = new Array(amount + 1).fill(Infinity);
  dp[0] = 0;
  for (let i = 1; i <= amount; i++) {
    for (const coin of coins) {
      if (coin <= i) {
        dp[i] = Math.min(dp[i], dp[i - coin] + 1);
      }
    }
  }
  return dp[amount] === Infinity ? -1 : dp[amount];
}
console.log(minCoins(coins, amount));

medium

A. 5

B. 4

C. 3

D. -1

Solution

1. Step 1: Trace DP array updates for amount 11

   Using coins 1, 2, 5, minimum coins for 11 are calculated as 3 (5+5+1) or 4 (5+2+2+2). The code finds 3 coins.

2. Step 2: Verify minimum coins count

   Actually, 11 = 5 + 5 + 1 uses 3 coins, which is minimum.

3. Final Answer:

   3 -> Option C

4. Quick Check:

   11 = 5+5+1 = 3 coins [OK]

Hint: Check combinations starting with largest coin first [OK]

Common Mistakes:

• Counting coins incorrectly (e.g., 5 coins instead of 3)
• Returning -1 when solution exists
• Ignoring smaller coins in calculation

4. Find the error in the following code snippet for Coin Change Minimum Coins:

function minCoins(coins, amount) {
  const dp = new Array(amount + 1).fill(Infinity);
  dp[0] = 0;
  for (let i = 0; i <= amount; i++) {
    for (const coin of coins) {
      if (coin <= i) {
        dp[i] = Math.min(dp[i], dp[i - coin] + 1);
      }
    }
  }
  return dp[amount] === Infinity ? -1 : dp[amount];
}

medium

A. Loop should start from i = 1, not 0

B. dp array should be filled with 0 instead of Infinity

C. Return statement should return dp[0] instead of dp[amount]

D. coin <= i condition should be coin < i

Solution

1. Step 1: Analyze loop start index

   The outer loop starts at i = 0, but dp[0] is base case and should not be updated. Starting at 1 avoids unnecessary updates.

2. Step 2: Confirm correct loop range

   Starting from i = 1 ensures dp values build correctly from base case.

3. Final Answer:

   Loop should start from i = 1, not 0 -> Option A

4. Quick Check:

   Start loop at 1 to build dp correctly [OK]

Hint: Start dp loops from 1, not 0, to avoid base case overwrite [OK]

Common Mistakes:

• Starting loop at 0 causing incorrect dp updates
• Filling dp with 0 causing wrong min calculations
• Wrong return index causing wrong output

5. Given coins = [2, 3, 7] and amount = 13, what is the minimum number of coins needed to make the amount?
Use the Coin Change Minimum Coins approach.

hard

A. -1

B. 4

C. 5

D. 3

Solution

1. Step 1: Try combinations to form 13

   Using coins 7, 3, and 2, one way is 7 + 3 + 3 = 13 with 3 coins.

2. Step 2: Check if fewer coins possible

   No combination uses fewer than 4 coins to make 13 with these denominations.

3. Final Answer:

   4 -> Option B

4. Quick Check:

   13 can be formed with 4 coins minimum [OK]

Hint: Try largest coin first, then fill remainder with smaller coins [OK]

Common Mistakes:

• Assuming no solution (-1) without checking combinations
• Counting coins incorrectly
• Ignoring coin reuse possibilities