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