hello-algo/en/codes/rust/chapter_dynamic_programming/unbounded_knapsack.rs

61 lines
1.9 KiB
Rust

/*
* File: unbounded_knapsack.rs
* Created Time: 2023-07-09
* Author: codingonion (coderonion@gmail.com)
*/
/* Complete knapsack: Dynamic programming */
fn unbounded_knapsack_dp(wgt: &[i32], val: &[i32], cap: usize) -> i32 {
let n = wgt.len();
// Initialize dp table
let mut dp = vec![vec![0; cap + 1]; n + 1];
// State transition
for i in 1..=n {
for c in 1..=cap {
if wgt[i - 1] > c as i32 {
// 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] = std::cmp::max(dp[i - 1][c], dp[i][c - wgt[i - 1] as usize] + val[i - 1]);
}
}
}
return dp[n][cap];
}
/* Complete knapsack: Space-optimized dynamic programming */
fn unbounded_knapsack_dp_comp(wgt: &[i32], val: &[i32], cap: usize) -> i32 {
let n = wgt.len();
// Initialize dp table
let mut dp = vec![0; cap + 1];
// State transition
for i in 1..=n {
for c in 1..=cap {
if wgt[i - 1] > c as i32 {
// 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] = std::cmp::max(dp[c], dp[c - wgt[i - 1] as usize] + val[i - 1]);
}
}
}
dp[cap]
}
/* Driver Code */
pub fn main() {
let wgt = [1, 2, 3];
let val = [5, 11, 15];
let cap: usize = 4;
// Dynamic programming
let res = unbounded_knapsack_dp(&wgt, &val, cap);
println!("The maximum item value without exceeding knapsack capacity is {res}");
// Space-optimized dynamic programming
let res = unbounded_knapsack_dp_comp(&wgt, &val, cap);
println!("The maximum item value without exceeding knapsack capacity is {res}");
}