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hello-algo/en/codes/python/chapter_dynamic_programming/coin_change.py
Yudong Jin 14c314c08c Retranslate the complete English edition from Simplified Chinese (#2010)
* Retranslate the complete English edition from Simplified Chinese

* Polish three English explanations after reader-focused review
2026-10-31 03:35:51 +08:00

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Python

"""
File: coin_change.py
Created Time: 2023-07-10
Author: krahets (krahets@163.com)
"""
def coin_change_dp(coins: list[int], amt: int) -> int:
"""Coin change: dynamic programming"""
n = len(coins)
MAX = amt + 1
# Initialize the dp table
dp = [[0] * (amt + 1) for _ in range(n + 1)]
# State transitions: first row and first column
for a in range(1, amt + 1):
dp[0][a] = MAX
# State transitions: remaining rows and columns
for i in range(1, n + 1):
for a in range(1, amt + 1):
if coins[i - 1] > a:
# If the coin value exceeds the current amount a, do not choose coin i
dp[i][a] = dp[i - 1][a]
else:
# Take the smaller result of not choosing and choosing coin i
dp[i][a] = min(dp[i - 1][a], dp[i][a - coins[i - 1]] + 1)
return dp[n][amt] if dp[n][amt] != MAX else -1
def coin_change_dp_comp(coins: list[int], amt: int) -> int:
"""Coin change: space-optimized dynamic programming"""
n = len(coins)
MAX = amt + 1
# Initialize the dp table
dp = [MAX] * (amt + 1)
dp[0] = 0
# State transitions
for i in range(1, n + 1):
# Traverse in increasing order
for a in range(1, amt + 1):
if coins[i - 1] > a:
# If the coin value exceeds the current amount a, do not choose coin i
dp[a] = dp[a]
else:
# Take the smaller result of not choosing and choosing coin i
dp[a] = min(dp[a], dp[a - coins[i - 1]] + 1)
return dp[amt] if dp[amt] != MAX else -1
"""Driver code"""
if __name__ == "__main__":
coins = [1, 2, 5]
amt = 4
# Dynamic programming
res = coin_change_dp(coins, amt)
print(f"Minimum number of coins needed to make the target amount: {res}")
# Space-optimized dynamic programming
res = coin_change_dp_comp(coins, amt)
print(f"Minimum number of coins needed to make the target amount: {res}")