feat: add rust codes for chapter greedy (#646)
* feat: add rust codes for chapter greedy * Update max_product_cutting.rs --------- Co-authored-by: Yudong Jin <krahets@163.com>pull/647/head
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/*
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* File: coin_change_greedy.rs
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* Created Time: 2023-07-22
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* Author: night-cruise (2586447362@qq.com)
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*/
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/* 零钱兑换:贪心 */
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fn coin_change_greedy(coins: &[i32], mut amt: i32) -> i32 {
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// 假设 coins 列表有序
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let mut i = coins.len() - 1;
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let mut count = 0;
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// 循环进行贪心选择,直到无剩余金额
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while amt > 0 {
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// 找到小于且最接近剩余金额的硬币
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while coins[i] > amt {
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i -= 1;
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}
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// 选择 coins[i]
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amt -= coins[i];
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count += 1;
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}
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// 若未找到可行方案,则返回 -1
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if amt == 0 {
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count
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} else {
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-1
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}
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}
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/* Driver Code */
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fn main() {
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// 贪心:能够保证找到全局最优解
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let coins = [1, 5, 10, 20, 50, 100];
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let amt = 186;
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let res = coin_change_greedy(&coins, amt);
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println!("\ncoins = {:?}, amt = {}", coins, amt);
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println!("凑到 {} 所需的最少硬币数量为 {}", amt, res);
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// 贪心:无法保证找到全局最优解
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let coins = [1, 20, 50];
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let amt = 60;
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let res = coin_change_greedy(&coins, amt);
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println!("\ncoins = {:?}, amt = {}", coins, amt);
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println!("凑到 {} 所需的最少硬币数量为 {}", amt, res);
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println!("实际上需要的最少数量为 3 ,即 20 + 20 + 20");
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// 贪心:无法保证找到全局最优解
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let coins = [1, 49, 50];
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let amt = 98;
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let res = coin_change_greedy(&coins, amt);
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println!("\ncoins = {:?}, amt = {}", coins, amt);
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println!("凑到 {} 所需的最少硬币数量为 {}", amt, res);
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println!("实际上需要的最少数量为 2 ,即 49 + 49");
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}
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/*
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* File: coin_change_greedy.rs
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* Created Time: 2023-07-22
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* Author: night-cruise (2586447362@qq.com)
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*/
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/* 物品 */
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struct Item {
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w: i32, // 物品重量
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v: i32, // 物品价值
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}
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impl Item {
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fn new(w: i32, v: i32) -> Self {
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Self { w, v }
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}
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}
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/* 分数背包:贪心 */
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fn fractional_knapsack(wgt: &[i32], val: &[i32], mut cap: i32) -> f64 {
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// 创建物品列表,包含两个属性:重量、价值
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let mut items = wgt
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.iter()
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.zip(val.iter())
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.map(|(&w, &v)| Item::new(w, v))
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.collect::<Vec<Item>>();
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// 按照单位价值 item.v / item.w 从高到低进行排序
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items.sort_by(|a, b| {
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(b.v as f64 / b.w as f64)
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.partial_cmp(&(a.v as f64 / a.w as f64))
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.unwrap()
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});
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// 循环贪心选择
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let mut res = 0.0;
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for item in &items {
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if item.w <= cap {
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// 若剩余容量充足,则将当前物品整个装进背包
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res += item.v as f64;
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cap -= item.w;
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} else {
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// 若剩余容量不足,则将当前物品的一部分装进背包
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res += item.v as f64 / item.w as f64 * cap as f64;
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// 已无剩余容量,因此跳出循环
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break;
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}
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}
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res
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}
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/* Driver Code */
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fn main() {
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let wgt = [10, 20, 30, 40, 50];
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let val = [50, 120, 150, 210, 240];
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let cap = 50;
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// 贪心算法
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let res = fractional_knapsack(&wgt, &val, cap);
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println!("不超过背包容量的最大物品价值为 {}", res);
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}
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@ -0,0 +1,36 @@
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/*
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* File: coin_change_greedy.rs
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* Created Time: 2023-07-22
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* Author: night-cruise (2586447362@qq.com)
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*/
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/* 最大容量:贪心 */
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fn max_capacity(ht: &[i32]) -> i32 {
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// 初始化 i, j 分列数组两端
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let mut i = 0;
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let mut j = ht.len() - 1;
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// 初始最大容量为 0
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let mut res = 0;
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// 循环贪心选择,直至两板相遇
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while i < j {
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// 更新最大容量
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let cap = std::cmp::min(ht[i], ht[j]) * (j - i) as i32;
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res = std::cmp::max(res, cap);
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// 向内移动短板
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if ht[i] < ht[j] {
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i += 1;
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} else {
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j -= 1;
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}
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}
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res
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}
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/* Driver Code */
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fn main() {
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let ht = [3, 8, 5, 2, 7, 7, 3, 4];
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// 贪心算法
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let res = max_capacity(&ht);
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println!("最大容量为 {}", res);
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}
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