# Minimal Number of Coins for Change

Problem: Please implement a function which gets the minimal number of coins, whose value is v1, v2, …, vn, to make change for an amount of money with value t. Any coin with value vi may duplicate for any times to make change.
For example, the minimal number of coins to make change for 15 out of a set of coins with value 1, 3, 9, 10 is 3. We can choose two coins with value 3 and a coin with value 9. The number of coins for other choices should be greater than 3.
Analysis: Firstly let us define a function f(t) which is the minimal number of coins to make change for total value t. If there are n different coins, we have n choices to make change for value t: we can add a coin with value v1 into a set of coins whose total value is t-v1. The minimal number of coins to get value t-v1 is f(t-v1). Similarly, we can add a coin with value v2 into a set of coins whose total value is t-v2. The minimal number of coins to get value t-v2 is f(t-v2)…
Therefore, we divide a problem to calculate f(t) into n sub-problems: f(t-v1), f(t-v2), …, f(t-vn). We can get a formal equation for f(t) as the following accordingly:
This equation can be implemented with recursion easily. However, the recursive solution will cause serious performance issues since there are overlaps when we divide this problem into n sub-problems. A better solution is to utilize iteration, and store the result of sub-problems into a table (as the Table 1).
In the Table 1, each column except the first one is to denote the number of coins to make change for a specific value. We can calculate the numbers in the Table 1 from left to right, to simulate the iterative process to get the result of f(15).
For instance, there are two numbers 4 and 2 under the column title “6”. We have two alternatives to make change for 6: the first one is to add a coin with value 1 to a set of coins whose total value is 5. Since the minimal number of coins to get value 5 is 3 (highlighted number under the column tile “5”), the number in the first cell under column title “6” is 4 (4=3+1). The second choice is to add a coin with value 3 to a set of coins whose total value is 3. Since the minimal number of coins to get value 3 is 1 (highlighted number under the column tile “3”), the number in the second cell under column title “6” is 2 (2=1+1). We highlight the number 2 in the column under tile 6 because 2 is less than 4.
 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 1 0 1 2 3 2 3 4 3 4 5 2 2 3 3 4 5 3 0 – – 1 2 3 2 3 4 3 4 5 2 2 3 3 9 0 – – – – – – – – 1 2 3 2 3 4 3 10 0 – – – – – – – – – 1 2 3 2 3 4
Table 1: The iterative process to calculate the minimal number of coins to make changes for 15.
Even though we have a 2-D matrix to show the iterative process, it only requires a 1-D array for coding, because it is only necessary to store the minimal number of coins to make change for each total value. The sample code is shown below:
int GetMinCount(int total, int coins[], int length)
{
int* counts = new int[total + 1];
counts[0] = 0;
const int MAX = 0x7FFFFFFF;
for(int i = 1; i <= total; ++ i)
{
int count = MAX;
for(int j = 0; j < length; ++ j)
{
if(i – coins[j] >= 0 && count > counts[i – coins[j]])
count = counts[i – coins[j]];
}
if(count < MAX)
counts[i] = count + 1;
else
counts[i] = MAX;
}
int minCount = counts[total];
delete[] counts;
return minCount;

}