hello-algo/codes/kotlin/chapter_dynamic_programming/coin_change_ii.kt
curtishd 5c1f43fefd
Add kotlin code for dynamic programming (#1099)
* feat(kotlin): add kotlin code for dynamic programming.

* Update knapsack.kt
2024-03-03 15:14:26 +08:00

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/**
* File: coin_change_ii.kt
* Created Time: 2024-01-25
* Author: curtishd (1023632660@qq.com)
*/
package chapter_dynamic_programming
/* 零钱兑换 II动态规划 */
fun coinChangeIIDP(coins: IntArray, amt: Int): Int {
val n = coins.size
// 初始化 dp 表
val dp = Array(n + 1) { IntArray(amt + 1) }
// 初始化首列
for (i in 0..n) {
dp[i][0] = 1
}
// 状态转移
for (i in 1..n) {
for (a in 1..amt) {
if (coins[i - 1] > a) {
// 若超过目标金额,则不选硬币 i
dp[i][a] = dp[i - 1][a]
} else {
// 不选和选硬币 i 这两种方案之和
dp[i][a] = dp[i - 1][a] + dp[i][a - coins[i - 1]]
}
}
}
return dp[n][amt]
}
/* 零钱兑换 II空间优化后的动态规划 */
fun coinChangeIIDPComp(coins: IntArray, amt: Int): Int {
val n = coins.size
// 初始化 dp 表
val dp = IntArray(amt + 1)
dp[0] = 1
// 状态转移
for (i in 1..n) {
for (a in 1..amt) {
if (coins[i - 1] > a) {
// 若超过目标金额,则不选硬币 i
dp[a] = dp[a]
} else {
// 不选和选硬币 i 这两种方案之和
dp[a] = dp[a] + dp[a - coins[i - 1]]
}
}
}
return dp[amt]
}
/* Driver Code */
fun main() {
val coins = intArrayOf(1, 2, 5)
val amt = 5
// 动态规划
var res = coinChangeIIDP(coins, amt)
println("凑出目标金额的硬币组合数量为 $res")
// 空间优化后的动态规划
res = coinChangeIIDPComp(coins, amt)
println("凑出目标金额的硬币组合数量为 $res")
}