hello-algo/en/codes/go/chapter_dynamic_programming/unbounded_knapsack.go

51 lines
1.3 KiB
Go

// File: unbounded_knapsack.go
// Created Time: 2023-07-23
// Author: Reanon (793584285@qq.com)
package chapter_dynamic_programming
import "math"
/* Complete knapsack: Dynamic programming */
func unboundedKnapsackDP(wgt, val []int, cap int) int {
n := len(wgt)
// Initialize dp table
dp := make([][]int, n+1)
for i := 0; i <= n; i++ {
dp[i] = make([]int, cap+1)
}
// State transition
for i := 1; i <= n; i++ {
for c := 1; c <= cap; c++ {
if wgt[i-1] > c {
// If exceeding the knapsack capacity, do not choose item i
dp[i][c] = dp[i-1][c]
} else {
// The greater value between not choosing and choosing item i
dp[i][c] = int(math.Max(float64(dp[i-1][c]), float64(dp[i][c-wgt[i-1]]+val[i-1])))
}
}
}
return dp[n][cap]
}
/* Complete knapsack: Space-optimized dynamic programming */
func unboundedKnapsackDPComp(wgt, val []int, cap int) int {
n := len(wgt)
// Initialize dp table
dp := make([]int, cap+1)
// State transition
for i := 1; i <= n; i++ {
for c := 1; c <= cap; c++ {
if wgt[i-1] > c {
// If exceeding the knapsack capacity, do not choose item i
dp[c] = dp[c]
} else {
// The greater value between not choosing and choosing item i
dp[c] = int(math.Max(float64(dp[c]), float64(dp[c-wgt[i-1]]+val[i-1])))
}
}
}
return dp[cap]
}