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

64 lines
2.0 KiB
Swift

/**
* File: unbounded_knapsack.swift
* Created Time: 2023-07-15
* Author: nuomi1 (nuomi1@qq.com)
*/
/* Complete knapsack: Dynamic programming */
func unboundedKnapsackDP(wgt: [Int], val: [Int], cap: Int) -> Int {
let n = wgt.count
// Initialize dp table
var dp = Array(repeating: Array(repeating: 0, count: cap + 1), count: n + 1)
// State transition
for i in 1 ... n {
for c in 1 ... cap {
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] = max(dp[i - 1][c], dp[i][c - wgt[i - 1]] + val[i - 1])
}
}
}
return dp[n][cap]
}
/* Complete knapsack: Space-optimized dynamic programming */
func unboundedKnapsackDPComp(wgt: [Int], val: [Int], cap: Int) -> Int {
let n = wgt.count
// Initialize dp table
var dp = Array(repeating: 0, count: cap + 1)
// State transition
for i in 1 ... n {
for c in 1 ... cap {
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] = max(dp[c], dp[c - wgt[i - 1]] + val[i - 1])
}
}
}
return dp[cap]
}
@main
enum UnboundedKnapsack {
/* Driver Code */
static func main() {
let wgt = [1, 2, 3]
let val = [5, 11, 15]
let cap = 4
// Dynamic programming
var res = unboundedKnapsackDP(wgt: wgt, val: val, cap: cap)
print("Maximum value of items within the backpack capacity = \(res)")
// Space-optimized dynamic programming
res = unboundedKnapsackDPComp(wgt: wgt, val: val, cap: cap)
print("Maximum value of items within the backpack capacity = \(res)")
}
}