hello-algo/zh-hant/codes/ruby/chapter_dynamic_programming/min_path_sum.rb
Yudong Jin 3f4220de81
Bug fixes and improvements (#1380)
* preorder, inorder, postorder -> pre-order, in-order, post-order

* Bug fixes

* Bug fixes

* Update what_is_dsa.md

* Sync zh and zh-hant versions

* Sync zh and zh-hant versions.

* Update performance_evaluation.md and time_complexity.md

* Add @khoaxuantu to the landing page.

* Sync zh and zh-hant versions

* Add @ khoaxuantu to the landing page of zh-hant and en versions.
2024-05-31 16:39:06 +08:00

93 lines
2.9 KiB
Ruby

=begin
File: min_path_sum.rb
Created Time: 2024-05-29
Author: Xuan Khoa Tu Nguyen (ngxktuzkai2000@gmail.com)
=end
### 最小路徑和:暴力搜尋 ###
def min_path_sum_dfs(grid, i, j)
# 若為左上角單元格,則終止搜尋
return grid[i][j] if i == 0 && j == 0
# 若行列索引越界,則返回 +∞ 代價
return Float::INFINITY if i < 0 || j < 0
# 計算從左上角到 (i-1, j) 和 (i, j-1) 的最小路徑代價
up = min_path_sum_dfs(grid, i - 1, j)
left = min_path_sum_dfs(grid, i, j - 1)
# 返回從左上角到 (i, j) 的最小路徑代價
[left, up].min + grid[i][j]
end
### 最小路徑和:記憶化搜尋 ###
def min_path_sum_dfs_mem(grid, mem, i, j)
# 若為左上角單元格,則終止搜尋
return grid[0][0] if i == 0 && j == 0
# 若行列索引越界,則返回 +∞ 代價
return Float::INFINITY if i < 0 || j < 0
# 若已有記錄,則直接返回
return mem[i][j] if mem[i][j] != -1
# 左邊和上邊單元格的最小路徑代價
up = min_path_sum_dfs_mem(grid, mem, i - 1, j)
left = min_path_sum_dfs_mem(grid, mem, i, j - 1)
# 記錄並返回左上角到 (i, j) 的最小路徑代價
mem[i][j] = [left, up].min + grid[i][j]
end
### 最小路徑和:動態規劃 ###
def min_path_sum_dp(grid)
n, m = grid.length, grid.first.length
# 初始化 dp 表
dp = Array.new(n) { Array.new(m, 0) }
dp[0][0] = grid[0][0]
# 狀態轉移:首行
(1...m).each { |j| dp[0][j] = dp[0][j - 1] + grid[0][j] }
# 狀態轉移:首列
(1...n).each { |i| dp[i][0] = dp[i - 1][0] + grid[i][0] }
# 狀態轉移:其餘行和列
for i in 1...n
for j in 1...m
dp[i][j] = [dp[i][j - 1], dp[i - 1][j]].min + grid[i][j]
end
end
dp[n -1][m -1]
end
### 最小路徑和:空間最佳化後的動態規劃 ###
def min_path_sum_dp_comp(grid)
n, m = grid.length, grid.first.length
# 初始化 dp 表
dp = Array.new(m, 0)
# 狀態轉移:首行
dp[0] = grid[0][0]
(1...m).each { |j| dp[j] = dp[j - 1] + grid[0][j] }
# 狀態轉移:其餘行
for i in 1...n
# 狀態轉移:首列
dp[0] = dp[0] + grid[i][0]
# 狀態轉移:其餘列
(1...m).each { |j| dp[j] = [dp[j - 1], dp[j]].min + grid[i][j] }
end
dp[m - 1]
end
### Driver Code ###
if __FILE__ == $0
grid = [[1, 3, 1, 5], [2, 2, 4, 2], [5, 3, 2, 1], [4, 3, 5, 2]]
n, m = grid.length, grid.first.length
# 暴力搜尋
res = min_path_sum_dfs(grid, n - 1, m - 1)
puts "從左上角到右下角的做小路徑和為 #{res}"
# 記憶化搜尋
mem = Array.new(n) { Array.new(m, - 1) }
res = min_path_sum_dfs_mem(grid, mem, n - 1, m -1)
puts "從左上角到右下角的做小路徑和為 #{res}"
# 動態規劃
res = min_path_sum_dp(grid)
puts "從左上角到右下角的做小路徑和為 #{res}"
# 空間最佳化後的動態規劃
res = min_path_sum_dp_comp(grid)
puts "從左上角到右下角的做小路徑和為 #{res}"
end