Recursion and Dynamic Programming
Coin Change (Bottom-Up)
Build a one-dimensional table where each amount stores the fewest coins needed to make it.
Algorithm
@steps
- Initialize
dp[0] = 0and all other amounts to an unreachable sentinel. - Scan amounts from
1through6. - For each coin, read the earlier cell
dp[amount - coin]when it exists. - Write the smallest candidate into the current amount.
- Print both the final answer and the full DP array. @end @complexity
- Time: O(target * coin_count)
- Space: O(target) @end
bottom-up dynamic programming
`dp[a]` is solved from already-computed smaller amounts, so every table cell has a visible dependency.
C++ DSA Implementation
basic.cpp
#include <iostream>
#include <sstream>
#include <vector>
using namespace std;
string list_string(const vector<int>& values) {
ostringstream out;
out << "[";
for (size_t i = 0; i < values.size(); i++) {
if (i) out << ", ";
out << values[i];
}
out << "]";
return out.str();
}
int main() {
vector<int> coins = {1, 3, 4};
int target = 6;
int inf = target + 1;
vector<int> dp(target + 1, inf);
dp[0] = 0;
for (int amount = 1; amount <= target; amount++) {
for (int coin : coins) {
if (amount >= coin) {
int candidate = dp[amount - coin] + 1;
if (candidate < dp[amount]) dp[amount] = candidate;
}
}
}
cout << dp[target] << "\n" << list_string(dp) << "\n";
}
@end @output 2 [0, 1, 2, 1, 1, 2, 2] @end