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