mirror of
https://github.com/krahets/hello-algo.git
synced 2026-08-17 22:10:59 +00:00
zig : upgrade codes && rust : add codes for chapter_searching and chapter_dynamic_programming. (#591)
* zig : update zig codes * rust : add codes for linear_search and hashing_search * rust : add codes for linear_search and hashing_search * rust : add codes for chapter_dynamic_programming
This commit is contained in:
@@ -154,5 +154,45 @@ path = "chapter_tree/binary_tree_dfs.rs"
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name = "binary_tree"
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path = "chapter_tree/binary_tree.rs"
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# Run Command: cargo run --bin linear_search
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[[bin]]
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name = "linear_search"
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path = "chapter_searching/linear_search.rs"
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# Run Command: cargo run --bin hashing_search
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[[bin]]
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name = "hashing_search"
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path = "chapter_searching/hashing_search.rs"
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# Run Command: cargo run --bin climbing_stairs_dfs
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[[bin]]
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name = "climbing_stairs_dfs"
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path = "chapter_dynamic_programming/climbing_stairs_dfs.rs"
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# Run Command: cargo run --bin climbing_stairs_dfs_mem
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[[bin]]
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name = "climbing_stairs_dfs_mem"
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path = "chapter_dynamic_programming/climbing_stairs_dfs_mem.rs"
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# Run Command: cargo run --bin climbing_stairs_dp
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[[bin]]
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name = "climbing_stairs_dp"
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path = "chapter_dynamic_programming/climbing_stairs_dp.rs"
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# Run Command: cargo run --bin min_cost_climbing_stairs_dp
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[[bin]]
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name = "min_cost_climbing_stairs_dp"
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path = "chapter_dynamic_programming/min_cost_climbing_stairs_dp.rs"
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# Run Command: cargo run --bin climbing_stairs_constraint_dp
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[[bin]]
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name = "climbing_stairs_constraint_dp"
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path = "chapter_dynamic_programming/climbing_stairs_constraint_dp.rs"
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# Run Command: cargo run --bin climbing_stairs_backtrack
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[[bin]]
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name = "climbing_stairs_backtrack"
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path = "chapter_dynamic_programming/climbing_stairs_backtrack.rs"
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[dependencies]
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rand = "0.8.5"
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@@ -0,0 +1,37 @@
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/*
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* File: climbing_stairs_backtrack.rs
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* Created Time: 2023-07-09
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* Author: sjinzh (sjinzh@gmail.com)
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*/
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/* 回溯 */
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fn backtrack(choices: &[i32], state: i32, n: i32, res: &mut [i32]) {
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// 当爬到第 n 阶时,方案数量加 1
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if state == n { res[0] = res[0] + 1; }
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// 遍历所有选择
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for &choice in choices {
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// 剪枝:不允许越过第 n 阶
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if state + choice > n { break; }
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// 尝试:做出选择,更新状态
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backtrack(choices, state + choice, n, res);
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// 回退
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}
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}
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/* 爬楼梯:回溯 */
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fn climbing_stairs_backtrack(n: usize) -> i32 {
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let choices = vec![ 1, 2 ]; // 可选择向上爬 1 或 2 阶
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let state = 0; // 从第 0 阶开始爬
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let mut res = Vec::new();
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res.push(0); // 使用 res[0] 记录方案数量
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backtrack(&choices, state, n as i32, &mut res);
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res[0]
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}
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/* Driver Code */
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pub fn main() {
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let n: usize = 9;
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let res = climbing_stairs_backtrack(n);
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println!("爬 {n} 阶楼梯共有 {res} 种方案");
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}
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@@ -0,0 +1,31 @@
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/*
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* File: climbing_stairs_constraint_dp.rs
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* Created Time: 2023-07-09
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* Author: sjinzh (sjinzh@gmail.com)
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*/
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/* 带约束爬楼梯:动态规划 */
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fn climbing_stairs_constraint_dp(n: usize) -> i32 {
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if n == 1 || n == 2 { return n as i32 };
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// 初始化 dp 表,用于存储子问题的解
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let mut dp = vec![vec![-1; 3]; n + 1];
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// 初始状态:预设最小子问题的解
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dp[1][1] = 1;
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dp[1][2] = 0;
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dp[2][1] = 0;
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dp[2][2] = 1;
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// 状态转移:从较小子问题逐步求解较大子问题
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for i in 3..=n {
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dp[i][1] = dp[i - 1][2];
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dp[i][2] = dp[i - 2][1] + dp[i - 2][2];
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}
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dp[n][1] + dp[n][2]
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}
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/* Driver Code */
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pub fn main() {
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let n: usize = 9;
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let res = climbing_stairs_constraint_dp(n);
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println!("爬 {n} 阶楼梯共有 {res} 种方案");
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}
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@@ -0,0 +1,27 @@
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/*
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* File: climbing_stairs_dfs.rs
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* Created Time: 2023-07-09
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* Author: sjinzh (sjinzh@gmail.com)
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*/
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/* 搜索 */
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fn dfs(i: usize) -> i32 {
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// 已知 dp[1] 和 dp[2] ,返回之
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if i == 1 || i == 2 { return i as i32 };
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// dp[i] = dp[i-1] + dp[i-2]
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let count = dfs(i - 1) + dfs(i - 2);
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count
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}
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/* 爬楼梯:搜索 */
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fn climbing_stairs_dfs(n: usize) -> i32 {
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dfs(n)
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}
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/* Driver Code */
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pub fn main() {
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let n: usize = 9;
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let res = climbing_stairs_dfs(n);
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println!("爬 {n} 阶楼梯共有 {res} 种方案");
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}
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@@ -0,0 +1,33 @@
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/*
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* File: climbing_stairs_dfs_mem.rs
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* Created Time: 2023-07-09
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* Author: sjinzh (sjinzh@gmail.com)
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*/
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/* 记忆化搜索 */
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fn dfs(i: usize, mem: &mut [i32]) -> i32 {
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// 已知 dp[1] 和 dp[2] ,返回之
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if i == 1 || i == 2 { return i as i32};
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// 若存在记录 dp[i] ,则直接返回之
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if mem[i] != -1 { return mem[i] };
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// dp[i] = dp[i-1] + dp[i-2]
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let count = dfs(i - 1, mem) + dfs(i - 2, mem);
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// 记录 dp[i]
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mem[i] = count;
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count
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}
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/* 爬楼梯:记忆化搜索 */
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fn climbing_stairs_dfs_mem(n: usize) -> i32 {
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// mem[i] 记录爬到第 i 阶的方案总数,-1 代表无记录
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let mut mem = vec![-1; n + 1];
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dfs(n, &mut mem)
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}
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/* Driver Code */
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pub fn main() {
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let n: usize = 9;
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let res = climbing_stairs_dfs_mem(n);
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println!("爬 {n} 阶楼梯共有 {res} 种方案");
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}
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@@ -0,0 +1,44 @@
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/*
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* File: climbing_stairs_dp.rs
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* Created Time: 2023-07-09
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* Author: sjinzh (sjinzh@gmail.com)
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*/
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/* 爬楼梯:动态规划 */
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fn climbing_stairs_dp(n: usize) -> i32 {
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// 已知 dp[1] 和 dp[2] ,返回之
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if n == 1 || n == 2 { return n as i32 };
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// 初始化 dp 表,用于存储子问题的解
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let mut dp = vec![-1; n + 1];
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// 初始状态:预设最小子问题的解
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dp[1] = 1;
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dp[2] = 2;
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// 状态转移:从较小子问题逐步求解较大子问题
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for i in 3..=n {
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dp[i] = dp[i - 1] + dp[i - 2];
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}
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dp[n]
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}
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/* 爬楼梯:状态压缩后的动态规划 */
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fn climbing_stairs_dp_comp(n: usize) -> i32 {
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if n == 1 || n == 2 { return n as i32 };
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let (mut a, mut b) = (1, 2);
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for _ in 3..=n {
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let tmp = b;
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b = a + b;
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a = tmp;
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}
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b
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}
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/* Driver Code */
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pub fn main() {
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let n: usize = 9;
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let res = climbing_stairs_dp(n);
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println!("爬 {n} 阶楼梯共有 {res} 种方案");
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let res = climbing_stairs_dp_comp(n);
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println!("爬 {n} 阶楼梯共有 {res} 种方案");
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}
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@@ -0,0 +1,48 @@
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/*
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* File: min_cost_climbing_stairs_dp.rs
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* Created Time: 2023-07-09
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* Author: sjinzh (sjinzh@gmail.com)
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*/
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use std::cmp;
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/* 爬楼梯最小代价:动态规划 */
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fn min_cost_climbing_stairs_dp(cost: &[i32]) -> i32 {
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let n = cost.len() - 1;
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if n == 1 || n == 2 { return cost[n] };
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// 初始化 dp 表,用于存储子问题的解
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let mut dp = vec![-1; n + 1];
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// 初始状态:预设最小子问题的解
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dp[1] = cost[1];
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dp[2] = cost[2];
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// 状态转移:从较小子问题逐步求解较大子问题
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for i in 3..=n {
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dp[i] = cmp::min(dp[i - 1], dp[i - 2]) + cost[i];
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}
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dp[n]
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}
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/* 爬楼梯最小代价:状态压缩后的动态规划 */
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fn min_cost_climbing_stairs_dp_comp(cost: &[i32]) -> i32 {
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let n = cost.len() - 1;
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if n == 1 || n == 2 { return cost[n] };
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let (mut a, mut b) = (cost[1], cost[2]);
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for i in 3..=n {
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let tmp = b;
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b = cmp::min(a, tmp) + cost[i];
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a = tmp;
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}
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b
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}
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/* Driver Code */
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pub fn main() {
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let cost = [ 0, 1, 10, 1, 1, 1, 10, 1, 1, 10, 1 ];
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println!("输入楼梯的代价列表为 {:?}", &cost);
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let res = min_cost_climbing_stairs_dp(&cost);
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println!("爬完楼梯的最低代价为 {res}");
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let res = min_cost_climbing_stairs_dp_comp(&cost);
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println!("爬完楼梯的最低代价为 {res}");
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}
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@@ -0,0 +1,49 @@
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/*
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* File: hashing_search.rs
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* Created Time: 2023-07-09
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* Author: sjinzh (sjinzh@gmail.com)
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*/
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include!("../include/include.rs");
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use std::collections::HashMap;
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use std::rc::Rc;
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use std::cell::RefCell;
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use list_node::ListNode;
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/* 哈希查找(数组) */
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fn hashing_search_array<'a>(map: &'a HashMap<i32, usize>, target: i32) -> Option<&'a usize> {
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// 哈希表的 key: 目标元素,value: 索引
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// 若哈希表中无此 key ,返回 None
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map.get(&target)
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}
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/* 哈希查找(链表) */
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fn hashing_search_linked_list(map: &HashMap<i32, Rc<RefCell<ListNode<i32>>>>, target: i32) -> Option<&Rc<RefCell<ListNode<i32>>>> {
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// 哈希表的 key: 目标节点值,value: 节点对象
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// 若哈希表中无此 key ,返回 None
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map.get(&target)
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}
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/* Driver Code */
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pub fn main() {
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let target = 3;
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/* 哈希查找(数组) */
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let nums = [ 1, 5, 3, 2, 4, 7, 5, 9, 10, 8 ];
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// 初始化哈希表
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let mut map = HashMap::new();
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for (i, num) in nums.iter().enumerate() {
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map.insert(*num, i);
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}
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let index = hashing_search_array(&map, target);
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println!("目标元素 3 的索引 = {}", index.unwrap());
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/* 哈希查找(链表) */
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let head = ListNode::arr_to_linked_list(&nums);
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// 初始化哈希表
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// let mut map1 = HashMap::new();
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let map1 = ListNode::linked_list_to_hashmap(head);
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let node = hashing_search_linked_list(&map1, target);
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println!("目标节点值 3 的对应节点对象为 {:?}", node);
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}
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@@ -0,0 +1,49 @@
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/*
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* File: linear_search.rs
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* Created Time: 2023-07-09
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* Author: sjinzh (sjinzh@gmail.com)
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*/
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include!("../include/include.rs");
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use std::rc::Rc;
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use std::cell::RefCell;
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use list_node::ListNode;
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/* 线性查找(数组) */
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fn linear_search_array(nums: &[i32], target: i32) -> i32 {
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// 遍历数组
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for (i, num) in nums.iter().enumerate() {
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if num == &target {
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return i as i32;
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}
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}
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// 未找到目标元素,返回 -1
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return -1;
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}
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/* 线性查找(链表) */
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fn linear_search_linked_list(head: Rc<RefCell<ListNode<i32>>>, target: i32) -> Option<Rc<RefCell<ListNode<i32>>>> {
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// 找到目标节点,返回之
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if head.borrow().val == target {return Some(head)};
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if let Some(node) = &head.borrow_mut().next {
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return linear_search_linked_list(node.clone(), target);
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}
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// 未找到目标节点,返回 None
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return None;
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}
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/* Driver Code */
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pub fn main() {
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let target = 3;
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/* 在数组中执行线性查找 */
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let nums = [ 1, 5, 3, 2, 4, 7, 5, 9, 10, 8 ];
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let index = linear_search_array(&nums, target);
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println!("目标元素 3 的索引 = {}", index);
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/* 在链表中执行线性查找 */
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let head = ListNode::arr_to_linked_list(&nums);
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let node = linear_search_linked_list(head.unwrap(), target);
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println!("目标节点值 3 的对应节点对象为 {:?}", node);
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}
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@@ -6,7 +6,9 @@
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use std::rc::Rc;
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use std::cell::RefCell;
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use std::collections::HashMap;
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#[derive(Debug)]
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pub struct ListNode<T> {
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pub val: T,
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pub next: Option<Rc<RefCell<ListNode<T>>>>,
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@@ -19,4 +21,41 @@ impl<T> ListNode<T> {
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next: None,
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}))
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}
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/* Generate a linked list with an array */
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pub fn arr_to_linked_list(array: &[T]) -> Option<Rc<RefCell<ListNode<T>>>>
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where
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T: Copy + Clone,
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{
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let mut head = None;
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let mut prev = None;
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for item in array.iter().rev() {
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let node = Rc::new(RefCell::new(ListNode {
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val: *item,
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next: prev.take(),
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}));
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prev = Some(node.clone());
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head = Some(node);
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}
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head
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}
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/* Generate a hashmap with a linked_list */
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pub fn linked_list_to_hashmap(
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linked_list: Option<Rc<RefCell<ListNode<T>>>>,
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) -> HashMap<T, Rc<RefCell<ListNode<T>>>>
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where
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T: std::hash::Hash + Eq + Copy + Clone
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{
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let mut hashmap = HashMap::new();
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if let Some(node) = linked_list {
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let mut current = Some(node.clone());
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while let Some(cur) = current {
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let borrow = cur.borrow();
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hashmap.insert(borrow.val.clone(), cur.clone());
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current = borrow.next.clone();
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}
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}
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hashmap
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}
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}
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