What if you could instantly know the fewest coins needed for any payment without guessing?
Why Coin Change Minimum Coins in DSA C++?
Imagine you have a pile of coins of different values and you want to pay a certain amount using the fewest coins possible. Without a method, you try every combination by hand, which takes forever and is confusing.
Trying all coin combinations manually is slow and easy to mess up. You might pick too many small coins or miss a better combination, wasting time and money.
The Coin Change Minimum Coins method uses a smart way to find the smallest number of coins needed. It checks smaller amounts first and builds up to the target, saving time and avoiding mistakes.
int minCoins(int coins[], int n, int amount) {
// Try all combinations manually
// Very slow and complex
return -1; // placeholder
}#include <climits> #include <algorithm> int minCoins(int coins[], int n, int amount) { int dp[amount+1]; dp[0] = 0; for (int i = 1; i <= amount; i++) { dp[i] = INT_MAX; for (int j = 0; j < n; j++) { if (coins[j] <= i && dp[i - coins[j]] != INT_MAX) { dp[i] = std::min(dp[i], dp[i - coins[j]] + 1); } } } return dp[amount] == INT_MAX ? -1 : dp[amount]; }
This method lets you quickly find the least number of coins needed to make any amount, saving time and effort.
When a cashier needs to give change using the fewest coins possible, this method helps find the best way fast.
Manual trial of coin combinations is slow and error-prone.
Dynamic programming builds solutions from smaller amounts efficiently.
Minimum coins needed can be found quickly for any amount.
Practice
Solution
Step 1: Understand the problem goal
The problem asks for the minimum number of coins needed to make a specific amount using given coin denominations.Step 2: Identify the correct description
The fewest number of coins needed to make a given amount correctly describes this goal, while others describe unrelated concepts.Final Answer:
The fewest number of coins needed to make a given amount -> Option AQuick Check:
Minimum coins = fewest coins needed [OK]
- Confusing minimum coins with total coin types
- Thinking about maximum amount instead of minimum coins
- Mixing sum of coins with count of coins
dp of size amount+1 initialized with INT_MAX?Solution
Step 1: Check vector declaration syntax
Correct syntax uses std::vector<int> dp(size, initial_value); std::vector<int> dp(amount+1, INT_MAX); matches this exactly.Step 2: Identify errors in other options
vector<int> dp(amount, 0); initializes with 0 and wrong size; std::vector dp(amount+1, INT_MAX); misses template brackets; vector<int> dp = new vector(amount+1, INT_MAX); uses incorrect new syntax.Final Answer:
std::vector<int> dp(amount+1, INT_MAX); -> Option CQuick Check:
Correct vector declaration = std::vector<int> dp(amount+1, INT_MAX); [OK]
- Omitting template brackets <>
- Using wrong initialization syntax
- Confusing size and initial value parameters
int coins[] = {1, 2, 5};
int amount = 11;
std::vector<int> dp(amount+1, INT_MAX);
dp[0] = 0;
for (int i = 1; i <= amount; i++) {
for (int c : coins) {
if (i - c >= 0 && dp[i - c] != INT_MAX) {
dp[i] = std::min(dp[i], dp[i - c] + 1);
}
}
}
std::cout << dp[amount] << std::endl;Solution
Step 1: Understand the DP approach
The code finds minimum coins to make amount 11 using coins {1,2,5} by building dp array.Step 2: Calculate minimum coins for 11
11 = 5 + 5 + 1 uses 3 coins, which is minimum. dp[11] = 3.Final Answer:
3 -> Option BQuick Check:
Minimum coins for 11 = 3 [OK]
- Assuming dp[amount] remains INT_MAX
- Counting total coin value instead of count
- Ignoring dp initialization and updates
int coins[] = {1, 3, 4};
int amount = 6;
std::vector<int> dp(amount+1, INT_MAX);
dp[0] = 0;
for (int i = 1; i <= amount; i++) {
for (int c : coins) {
if (i - c >= 0) {
dp[i] = std::min(dp[i], dp[i - c] + 1);
}
}
}
std::cout << dp[amount] << std::endl;Solution
Step 1: Analyze dp update condition
The code updates dp[i] without checking if dp[i - c] is INT_MAX, which can cause overflow.Step 2: Identify missing condition
Must check dp[i - c] != INT_MAX before adding 1 to avoid invalid calculations.Final Answer:
Missing check if dp[i - c] is INT_MAX before adding 1 -> Option DQuick Check:
Check dp[i - c] != INT_MAX before update [OK]
- Skipping dp[i-c] validity check
- Incorrect dp vector size
- Wrong initialization of dp[0]
{2, 5, 10} and amount 7, what is the minimum number of coins needed? If it is not possible, return -1.Solution
Step 1: Check possible combinations for amount 7
Coins are 2, 5, 10. 10 > 7 so ignore. Try 5 + 2 = 7 (2 coins). But 5 + 2 is valid, so minimum coins = 2.Step 2: Verify if 5 + 2 is allowed
Since 5 and 2 are in denominations, 7 can be made with 2 coins.Final Answer:
2 -> Option AQuick Check:
7 = 5 + 2 uses 2 coins [OK]
- Assuming no solution because 7 is odd
- Ignoring valid combinations with smaller coins
- Returning -1 incorrectly
Ready to prove it?
Pass the test and this pattern moves unknown
