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DSA Cprogramming~10 mins

Coin Change Minimum Coins in DSA C - Execution Trace

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Concept Flow - Coin Change Minimum Coins
Start with amount = 0
Initialize dp array with large values
Set dp[0
For each amount from 1 to target
For each coin
If coin <= amount
Update dp[amount
Repeat until dp[target
If dp[target
We build a table dp where dp[i] stores the minimum coins needed for amount i. We fill dp from 0 to target by checking all coins.
Execution Sample
DSA C
int coins[] = {1, 3, 4};
int target = 6;
int dp[7];
// dp[0] = 0, others large
// Fill dp from 1 to 6
// dp[i] = min(dp[i], dp[i-coin]+1)
This code finds the minimum coins needed to make amount 6 using coins 1, 3, and 4.
Execution Table
StepOperationAmount iCoin Useddp Array StateExplanation
1Initialize dp--[0, 999, 999, 999, 999, 999, 999]dp[0] = 0, others set to large number (999)
2Check amount11[0, 1, 999, 999, 999, 999, 999]dp[1] = min(999, dp[0]+1)=1
3Check amount21[0, 1, 2, 999, 999, 999, 999]dp[2] = min(999, dp[1]+1)=2
4Check amount31[0, 1, 2, 3, 999, 999, 999]dp[3] = min(999, dp[2]+1)=3
5Check amount33[0, 1, 2, 1, 999, 999, 999]dp[3] = min(3, dp[0]+1)=1 (using coin 3)
6Check amount41[0, 1, 2, 1, 2, 999, 999]dp[4] = min(999, dp[3]+1)=2
7Check amount43[0, 1, 2, 1, 2, 999, 999]dp[4] = min(2, dp[1]+1)=2 (no change)
8Check amount44[0, 1, 2, 1, 1, 999, 999]dp[4] = min(2, dp[0]+1)=1 (using coin 4)
9Check amount51[0, 1, 2, 1, 1, 2, 999]dp[5] = min(999, dp[4]+1)=2
10Check amount53[0, 1, 2, 1, 1, 2, 999]dp[5] = min(2, dp[2]+1)=2 (no change)
11Check amount54[0, 1, 2, 1, 1, 2, 999]dp[5] = min(2, dp[1]+1)=2 (no change)
12Check amount61[0, 1, 2, 1, 1, 2, 3]dp[6] = min(999, dp[5]+1)=3
13Check amount63[0, 1, 2, 1, 1, 2, 2]dp[6] = min(3, dp[3]+1)=2 (using coin 3)
14Check amount64[0, 1, 2, 1, 1, 2, 2]dp[6] = min(2, dp[2]+1)=2 (no change)
15Result6-[0, 1, 2, 1, 1, 2, 2]Minimum coins for 6 is 2
16End---dp[6] found, algorithm stops
💡 dp[6] computed as 2, meaning minimum 2 coins needed for amount 6
Variable Tracker
VariableStartAfter Step 2After Step 5After Step 8After Step 13Final
dp[0]000000
dp[1]99911111
dp[2]9999992222
dp[3]9999991111
dp[4]999999999111
dp[5]99999999999922
dp[6]99999999999922
Key Moments - 3 Insights
Why do we initialize dp array with a large number like 999?
We use a large number to represent 'infinity' or no solution yet. This helps us find the minimum by comparing and updating dp values. See Step 1 in execution_table.
Why do we set dp[0] = 0 at the start?
Because zero coins are needed to make amount zero. This is the base case that allows building solutions for larger amounts. See Step 1 in execution_table.
Why do we update dp[i] with dp[i - coin] + 1?
Because if we can make amount (i - coin) with dp[i - coin] coins, then adding one coin of value 'coin' makes amount i with one more coin. We take the minimum over all coins. See Steps 5, 8, and 13.
Visual Quiz - 3 Questions
Test your understanding
Look at the execution_table at Step 5, what is the value of dp[3] after using coin 3?
A1
B3
C0
D999
💡 Hint
Check the dp Array State column at Step 5 in execution_table.
At which step does dp[4] get updated to 1 for the first time?
AStep 6
BStep 7
CStep 8
DStep 9
💡 Hint
Look at the dp Array State and Coin Used columns for amount 4 in execution_table.
If we remove coin 3 from the coin list, what would be the minimum coins for amount 6?
A2
B3
C4
DImpossible
💡 Hint
Without coin 3, dp[6] would rely on coins 1 and 4 only; check how dp[6] was updated in Steps 13 and 14.
Concept Snapshot
Coin Change Minimum Coins:
- Use dp array where dp[i] = min coins for amount i
- Initialize dp[0] = 0, others large
- For each amount i, for each coin:
  if coin <= i, dp[i] = min(dp[i], dp[i-coin]+1)
- dp[target] gives minimum coins or no solution if large
Full Transcript
This visualization shows how to find the minimum number of coins needed to make a target amount using given coin denominations. We create a dp array where each index represents an amount from 0 up to the target. We start by setting dp[0] to 0 because no coins are needed for amount zero, and all other dp values to a large number representing no solution yet. Then, for each amount from 1 to the target, we check each coin. If the coin value is less than or equal to the current amount, we update dp[amount] to the minimum of its current value and dp[amount - coin] plus one coin. This process continues until we fill dp[target]. The final dp[target] value is the minimum coins needed or indicates no solution if it remains large. The execution table traces each update step by step, showing how dp array changes and which coin is used. Key moments clarify why initialization is done with large numbers, why dp[0] is zero, and why dp updates use dp[i - coin] + 1. The quiz tests understanding of dp updates and the effect of removing a coin.