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>
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Night Cruising 2023-07-22 20:35:57 +08:00 committed by GitHub
parent abec926c24
commit 9d56622c75
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5 changed files with 204 additions and 0 deletions

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@ -349,5 +349,25 @@ path = "chapter_divide_and_conquer/hanota.rs"
name = "build_tree"
path = "chapter_divide_and_conquer/build_tree.rs"
# Run Command: cargo run --bin coin_change_greedy
[[bin]]
name = "coin_change_greedy"
path = "chapter_greedy/coin_change_greedy.rs"
# Run Command: cargo run --bin fractional_knapsack
[[bin]]
name = "fractional_knapsack"
path = "chapter_greedy/fractional_knapsack.rs"
# Run Command: cargo run --bin max_capacity
[[bin]]
name = "max_capacity"
path = "chapter_greedy/max_capacity.rs"
# Run Command: cargo run --bin max_product_cutting
[[bin]]
name = "max_product_cutting"
path = "chapter_greedy/max_product_cutting.rs"
[dependencies]
rand = "0.8.5"

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@ -0,0 +1,54 @@
/*
* File: coin_change_greedy.rs
* Created Time: 2023-07-22
* Author: night-cruise (2586447362@qq.com)
*/
/* 零钱兑换:贪心 */
fn coin_change_greedy(coins: &[i32], mut amt: i32) -> i32 {
// 假设 coins 列表有序
let mut i = coins.len() - 1;
let mut count = 0;
// 循环进行贪心选择,直到无剩余金额
while amt > 0 {
// 找到小于且最接近剩余金额的硬币
while coins[i] > amt {
i -= 1;
}
// 选择 coins[i]
amt -= coins[i];
count += 1;
}
// 若未找到可行方案,则返回 -1
if amt == 0 {
count
} else {
-1
}
}
/* Driver Code */
fn main() {
// 贪心:能够保证找到全局最优解
let coins = [1, 5, 10, 20, 50, 100];
let amt = 186;
let res = coin_change_greedy(&coins, amt);
println!("\ncoins = {:?}, amt = {}", coins, amt);
println!("凑到 {} 所需的最少硬币数量为 {}", amt, res);
// 贪心:无法保证找到全局最优解
let coins = [1, 20, 50];
let amt = 60;
let res = coin_change_greedy(&coins, amt);
println!("\ncoins = {:?}, amt = {}", coins, amt);
println!("凑到 {} 所需的最少硬币数量为 {}", amt, res);
println!("实际上需要的最少数量为 3 ,即 20 + 20 + 20");
// 贪心:无法保证找到全局最优解
let coins = [1, 49, 50];
let amt = 98;
let res = coin_change_greedy(&coins, amt);
println!("\ncoins = {:?}, amt = {}", coins, amt);
println!("凑到 {} 所需的最少硬币数量为 {}", amt, res);
println!("实际上需要的最少数量为 2 ,即 49 + 49");
}

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@ -0,0 +1,59 @@
/*
* File: coin_change_greedy.rs
* Created Time: 2023-07-22
* Author: night-cruise (2586447362@qq.com)
*/
/* 物品 */
struct Item {
w: i32, // 物品重量
v: i32, // 物品价值
}
impl Item {
fn new(w: i32, v: i32) -> Self {
Self { w, v }
}
}
/* 分数背包:贪心 */
fn fractional_knapsack(wgt: &[i32], val: &[i32], mut cap: i32) -> f64 {
// 创建物品列表,包含两个属性:重量、价值
let mut items = wgt
.iter()
.zip(val.iter())
.map(|(&w, &v)| Item::new(w, v))
.collect::<Vec<Item>>();
// 按照单位价值 item.v / item.w 从高到低进行排序
items.sort_by(|a, b| {
(b.v as f64 / b.w as f64)
.partial_cmp(&(a.v as f64 / a.w as f64))
.unwrap()
});
// 循环贪心选择
let mut res = 0.0;
for item in &items {
if item.w <= cap {
// 若剩余容量充足,则将当前物品整个装进背包
res += item.v as f64;
cap -= item.w;
} else {
// 若剩余容量不足,则将当前物品的一部分装进背包
res += item.v as f64 / item.w as f64 * cap as f64;
// 已无剩余容量,因此跳出循环
break;
}
}
res
}
/* Driver Code */
fn main() {
let wgt = [10, 20, 30, 40, 50];
let val = [50, 120, 150, 210, 240];
let cap = 50;
// 贪心算法
let res = fractional_knapsack(&wgt, &val, cap);
println!("不超过背包容量的最大物品价值为 {}", res);
}

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@ -0,0 +1,36 @@
/*
* File: coin_change_greedy.rs
* Created Time: 2023-07-22
* Author: night-cruise (2586447362@qq.com)
*/
/* 最大容量:贪心 */
fn max_capacity(ht: &[i32]) -> i32 {
// 初始化 i, j 分列数组两端
let mut i = 0;
let mut j = ht.len() - 1;
// 初始最大容量为 0
let mut res = 0;
// 循环贪心选择,直至两板相遇
while i < j {
// 更新最大容量
let cap = std::cmp::min(ht[i], ht[j]) * (j - i) as i32;
res = std::cmp::max(res, cap);
// 向内移动短板
if ht[i] < ht[j] {
i += 1;
} else {
j -= 1;
}
}
res
}
/* Driver Code */
fn main() {
let ht = [3, 8, 5, 2, 7, 7, 3, 4];
// 贪心算法
let res = max_capacity(&ht);
println!("最大容量为 {}", res);
}

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@ -0,0 +1,35 @@
/*
* File: coin_change_greedy.rs
* Created Time: 2023-07-22
* Author: night-cruise (2586447362@qq.com)
*/
/* 最大切分乘积:贪心 */
fn max_product_cutting(n: i32) -> i32 {
// 当 n <= 3 时,必须切分出一个 1
if n <= 3 {
return 1 * (n - 1);
}
// 贪心地切分出 3 a 为 3 的个数b 为余数
let a = n / 3;
let b = n % 3;
if b == 1 {
// 当余数为 1 时,将一对 1 * 3 转化为 2 * 2
3_i32.pow(a as u32 - 1) * 2 * 2
} else if b == 2 {
// 当余数为 2 时,不做处理
3_i32.pow(a as u32) * 2
} else {
// 当余数为 0 时,不做处理
3_i32.pow(a as u32)
}
}
/* Driver Code */
fn main() {
let n = 58;
// 贪心算法
let res = max_product_cutting(n);
println!("最大切分乘积为 {}", res);
}