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hello-algo/en/codes/kotlin/chapter_dynamic_programming/coin_change.kt
Yudong Jin 2778a6f9c7 Translate all code to English (#1836)
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2025-12-31 07:44:52 +08:00

71 lines
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Kotlin

/**
* File: coin_change.kt
* Created Time: 2024-01-25
* Author: curtishd (1023632660@qq.com)
*/
package chapter_dynamic_programming
import kotlin.math.min
/* Coin change: Dynamic programming */
fun coinChangeDP(coins: IntArray, amt: Int): Int {
val n = coins.size
val MAX = amt + 1
// Initialize dp table
val dp = Array(n + 1) { IntArray(amt + 1) }
// State transition: first row and first column
for (a in 1..amt) {
dp[0][a] = MAX
}
// State transition: rest of the rows and columns
for (i in 1..n) {
for (a in 1..amt) {
if (coins[i - 1] > a) {
// If exceeds target amount, don't select coin i
dp[i][a] = dp[i - 1][a]
} else {
// The smaller value between not selecting and selecting coin i
dp[i][a] = min(dp[i - 1][a], dp[i][a - coins[i - 1]] + 1)
}
}
}
return if (dp[n][amt] != MAX) dp[n][amt] else -1
}
/* Coin change: Space-optimized dynamic programming */
fun coinChangeDPComp(coins: IntArray, amt: Int): Int {
val n = coins.size
val MAX = amt + 1
// Initialize dp table
val dp = IntArray(amt + 1)
dp.fill(MAX)
dp[0] = 0
// State transition
for (i in 1..n) {
for (a in 1..amt) {
if (coins[i - 1] > a) {
// If exceeds target amount, don't select coin i
dp[a] = dp[a]
} else {
// The smaller value between not selecting and selecting coin i
dp[a] = min(dp[a], dp[a - coins[i - 1]] + 1)
}
}
}
return if (dp[amt] != MAX) dp[amt] else -1
}
/* Driver Code */
fun main() {
val coins = intArrayOf(1, 2, 5)
val amt = 4
// Dynamic programming
var res = coinChangeDP(coins, amt)
println("Minimum coins needed to make target amount is $res")
// Space-optimized dynamic programming
res = coinChangeDPComp(coins, amt)
println("Minimum coins needed to make target amount is $res")
}