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hello-algo/en/codes/rust/chapter_dynamic_programming/min_path_sum.rs
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Yudong Jin 2778a6f9c7 Translate all code to English (#1836)
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121 lines
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Rust

/*
* File: min_path_sum.rs
* Created Time: 2023-07-09
* Author: codingonion (coderonion@gmail.com)
*/
/* Minimum path sum: Brute-force search */
fn min_path_sum_dfs(grid: &Vec<Vec<i32>>, i: i32, j: i32) -> i32 {
// If it's the top-left cell, terminate the search
if i == 0 && j == 0 {
return grid[0][0];
}
// If row or column index is out of bounds, return +∞ cost
if i < 0 || j < 0 {
return i32::MAX;
}
// Calculate the minimum path cost from top-left to (i-1, j) and (i, j-1)
let up = min_path_sum_dfs(grid, i - 1, j);
let left = min_path_sum_dfs(grid, i, j - 1);
// Return the minimum path cost from top-left to (i, j)
std::cmp::min(left, up) + grid[i as usize][j as usize]
}
/* Minimum path sum: Memoization search */
fn min_path_sum_dfs_mem(grid: &Vec<Vec<i32>>, mem: &mut Vec<Vec<i32>>, i: i32, j: i32) -> i32 {
// If it's the top-left cell, terminate the search
if i == 0 && j == 0 {
return grid[0][0];
}
// If row or column index is out of bounds, return +∞ cost
if i < 0 || j < 0 {
return i32::MAX;
}
// If there's a record, return it directly
if mem[i as usize][j as usize] != -1 {
return mem[i as usize][j as usize];
}
// Minimum path cost for left and upper cells
let up = min_path_sum_dfs_mem(grid, mem, i - 1, j);
let left = min_path_sum_dfs_mem(grid, mem, i, j - 1);
// Record and return the minimum path cost from top-left to (i, j)
mem[i as usize][j as usize] = std::cmp::min(left, up) + grid[i as usize][j as usize];
mem[i as usize][j as usize]
}
/* Minimum path sum: Dynamic programming */
fn min_path_sum_dp(grid: &Vec<Vec<i32>>) -> i32 {
let (n, m) = (grid.len(), grid[0].len());
// Initialize dp table
let mut dp = vec![vec![0; m]; n];
dp[0][0] = grid[0][0];
// State transition: first row
for j in 1..m {
dp[0][j] = dp[0][j - 1] + grid[0][j];
}
// State transition: first column
for i in 1..n {
dp[i][0] = dp[i - 1][0] + grid[i][0];
}
// State transition: rest of the rows and columns
for i in 1..n {
for j in 1..m {
dp[i][j] = std::cmp::min(dp[i][j - 1], dp[i - 1][j]) + grid[i][j];
}
}
dp[n - 1][m - 1]
}
/* Minimum path sum: Space-optimized dynamic programming */
fn min_path_sum_dp_comp(grid: &Vec<Vec<i32>>) -> i32 {
let (n, m) = (grid.len(), grid[0].len());
// Initialize dp table
let mut dp = vec![0; m];
// State transition: first row
dp[0] = grid[0][0];
for j in 1..m {
dp[j] = dp[j - 1] + grid[0][j];
}
// State transition: rest of the rows
for i in 1..n {
// State transition: first column
dp[0] = dp[0] + grid[i][0];
// State transition: rest of the columns
for j in 1..m {
dp[j] = std::cmp::min(dp[j - 1], dp[j]) + grid[i][j];
}
}
dp[m - 1]
}
/* Driver Code */
pub fn main() {
let grid = vec![
vec![1, 3, 1, 5],
vec![2, 2, 4, 2],
vec![5, 3, 2, 1],
vec![4, 3, 5, 2],
];
let (n, m) = (grid.len(), grid[0].len());
// Brute-force search
let res = min_path_sum_dfs(&grid, n as i32 - 1, m as i32 - 1);
println!("Minimum path sum from top-left to bottom-right is {res}");
// Memoization search
let mut mem = vec![vec![0; m]; n];
for row in mem.iter_mut() {
row.fill(-1);
}
let res = min_path_sum_dfs_mem(&grid, &mut mem, n as i32 - 1, m as i32 - 1);
println!("Minimum path sum from top-left to bottom-right is {res}");
// Dynamic programming
let res = min_path_sum_dp(&grid);
println!("Minimum path sum from top-left to bottom-right is {res}");
// Space-optimized dynamic programming
let res = min_path_sum_dp_comp(&grid);
println!("Minimum path sum from top-left to bottom-right is {res}");
}