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hello-algo/en/codes/zig/chapter_dynamic_programming/knapsack.zig
Yudong Jin 14c314c08c Retranslate the complete English edition from Simplified Chinese (#2010)
* Retranslate the complete English edition from Simplified Chinese

* Polish three English explanations after reader-focused review
2026-10-31 03:35:51 +08:00

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Zig

// File: knapsack.zig
// Created Time: 2023-07-15
// Author: codingonion (coderonion@gmail.com)
const std = @import("std");
// 0-1 knapsack: brute-force search
fn knapsackDFS(wgt: []i32, val: []i32, i: usize, c: usize) i32 {
// If all items have been considered or no capacity remains, return value 0
if (i == 0 or c == 0) {
return 0;
}
// If the item exceeds the remaining capacity, it must be excluded
if (wgt[i - 1] > c) {
return knapsackDFS(wgt, val, i - 1, c);
}
// Calculate the maximum values obtained by excluding and including item i
var no = knapsackDFS(wgt, val, i - 1, c);
var yes = knapsackDFS(wgt, val, i - 1, c - @as(usize, @intCast(wgt[i - 1]))) + val[i - 1];
// Return the larger value from the two choices
return @max(no, yes);
}
// 0-1 knapsack: memoized search
fn knapsackDFSMem(wgt: []i32, val: []i32, mem: anytype, i: usize, c: usize) i32 {
// If all items have been considered or no capacity remains, return value 0
if (i == 0 or c == 0) {
return 0;
}
// If a result has already been recorded, return it directly
if (mem[i][c] != -1) {
return mem[i][c];
}
// If the item exceeds the remaining capacity, it must be excluded
if (wgt[i - 1] > c) {
return knapsackDFSMem(wgt, val, mem, i - 1, c);
}
// Calculate the maximum values obtained by excluding and including item i
var no = knapsackDFSMem(wgt, val, mem, i - 1, c);
var yes = knapsackDFSMem(wgt, val, mem, i - 1, c - @as(usize, @intCast(wgt[i - 1]))) + val[i - 1];
// Record and return the larger value from the two choices
mem[i][c] = @max(no, yes);
return mem[i][c];
}
// 0-1 knapsack: dynamic programming
fn knapsackDP(comptime wgt: []i32, val: []i32, comptime cap: usize) i32 {
comptime var n = wgt.len;
// Initialize the dp table
var dp = [_][cap + 1]i32{[_]i32{0} ** (cap + 1)} ** (n + 1);
// State transitions
for (1..n + 1) |i| {
for (1..cap + 1) |c| {
if (wgt[i - 1] > c) {
// If item i exceeds the remaining capacity, do not choose it
dp[i][c] = dp[i - 1][c];
} else {
// Take the larger value obtained by excluding and including item i
dp[i][c] = @max(dp[i - 1][c], dp[i - 1][c - @as(usize, @intCast(wgt[i - 1]))] + val[i - 1]);
}
}
}
return dp[n][cap];
}
// 0-1 knapsack: space-optimized dynamic programming
fn knapsackDPComp(wgt: []i32, val: []i32, comptime cap: usize) i32 {
var n = wgt.len;
// Initialize the dp table
var dp = [_]i32{0} ** (cap + 1);
// State transitions
for (1..n + 1) |i| {
// Traverse in decreasing order
var c = cap;
while (c > 0) : (c -= 1) {
if (wgt[i - 1] < c) {
// Take the larger value obtained by excluding and including item i
dp[c] = @max(dp[c], dp[c - @as(usize, @intCast(wgt[i - 1]))] + val[i - 1]);
}
}
}
return dp[cap];
}
// Driver code
pub fn main() !void {
comptime var wgt = [_]i32{ 10, 20, 30, 40, 50 };
comptime var val = [_]i32{ 50, 120, 150, 210, 240 };
comptime var cap = 50;
comptime var n = wgt.len;
// Brute-force search
var res = knapsackDFS(&wgt, &val, n, cap);
std.debug.print("Maximum total item value within the knapsack capacity: {}\n", .{res});
// Memoized search
var mem = [_][cap + 1]i32{[_]i32{-1} ** (cap + 1)} ** (n + 1);
res = knapsackDFSMem(&wgt, &val, @constCast(&mem), n, cap);
std.debug.print("Maximum total item value within the knapsack capacity: {}\n", .{res});
// Dynamic programming
res = knapsackDP(&wgt, &val, cap);
std.debug.print("Maximum total item value within the knapsack capacity: {}\n", .{res});
// Space-optimized dynamic programming
res = knapsackDPComp(&wgt, &val, cap);
std.debug.print("Maximum total item value within the knapsack capacity: {}\n", .{res});
_ = try std.io.getStdIn().reader().readByte();
}