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Squash the language code blocks and fix list.md (#865)

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Yudong Jin
2023-10-16 12:06:00 -05:00
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docs/chapter_dynamic_programming/dp_problem_features.md
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@ -34,77 +34,9 @@ $$
根据状态转移方程，以及初始状态 $dp[1] = cost[1]$ 和 $dp[2] = cost[2]$ ，我们就可以得到动态规划代码。
=== "Python"
```python title="min_cost_climbing_stairs_dp.py"
[class]{}-[func]{min_cost_climbing_stairs_dp}
```
=== "C++"
```cpp title="min_cost_climbing_stairs_dp.cpp"
[class]{}-[func]{minCostClimbingStairsDP}
```
=== "Java"
```java title="min_cost_climbing_stairs_dp.java"
[class]{min_cost_climbing_stairs_dp}-[func]{minCostClimbingStairsDP}
```
=== "C#"
```csharp title="min_cost_climbing_stairs_dp.cs"
[class]{min_cost_climbing_stairs_dp}-[func]{MinCostClimbingStairsDP}
```
=== "Go"
```go title="min_cost_climbing_stairs_dp.go"
[class]{}-[func]{minCostClimbingStairsDP}
```
=== "Swift"
```swift title="min_cost_climbing_stairs_dp.swift"
[class]{}-[func]{minCostClimbingStairsDP}
```
=== "JS"
```javascript title="min_cost_climbing_stairs_dp.js"
[class]{}-[func]{minCostClimbingStairsDP}
```
=== "TS"
```typescript title="min_cost_climbing_stairs_dp.ts"
[class]{}-[func]{minCostClimbingStairsDP}
```
=== "Dart"
```dart title="min_cost_climbing_stairs_dp.dart"
[class]{}-[func]{minCostClimbingStairsDP}
```
=== "Rust"
```rust title="min_cost_climbing_stairs_dp.rs"
[class]{}-[func]{min_cost_climbing_stairs_dp}
```
=== "C"
```c title="min_cost_climbing_stairs_dp.c"
[class]{}-[func]{minCostClimbingStairsDP}
```
=== "Zig"
```zig title="min_cost_climbing_stairs_dp.zig"
[class]{}-[func]{minCostClimbingStairsDP}
```
```src
[file]{min_cost_climbing_stairs_dp}-[class]{}-[func]{min_cost_climbing_stairs_dp}
```
下图展示了以上代码的动态规划过程。
@ -112,77 +44,9 @@ $$
本题也可以进行空间优化，将一维压缩至零维，使得空间复杂度从 $O(n)$ 降低至 $O(1)$ 。
=== "Python"
```python title="min_cost_climbing_stairs_dp.py"
[class]{}-[func]{min_cost_climbing_stairs_dp_comp}
```
=== "C++"
```cpp title="min_cost_climbing_stairs_dp.cpp"
[class]{}-[func]{minCostClimbingStairsDPComp}
```
=== "Java"
```java title="min_cost_climbing_stairs_dp.java"
[class]{min_cost_climbing_stairs_dp}-[func]{minCostClimbingStairsDPComp}
```
=== "C#"
```csharp title="min_cost_climbing_stairs_dp.cs"
[class]{min_cost_climbing_stairs_dp}-[func]{MinCostClimbingStairsDPComp}
```
=== "Go"
```go title="min_cost_climbing_stairs_dp.go"
[class]{}-[func]{minCostClimbingStairsDPComp}
```
=== "Swift"
```swift title="min_cost_climbing_stairs_dp.swift"
[class]{}-[func]{minCostClimbingStairsDPComp}
```
=== "JS"
```javascript title="min_cost_climbing_stairs_dp.js"
[class]{}-[func]{minCostClimbingStairsDPComp}
```
=== "TS"
```typescript title="min_cost_climbing_stairs_dp.ts"
[class]{}-[func]{minCostClimbingStairsDPComp}
```
=== "Dart"
```dart title="min_cost_climbing_stairs_dp.dart"
[class]{}-[func]{minCostClimbingStairsDPComp}
```
=== "Rust"
```rust title="min_cost_climbing_stairs_dp.rs"
[class]{}-[func]{min_cost_climbing_stairs_dp_comp}
```
=== "C"
```c title="min_cost_climbing_stairs_dp.c"
[class]{}-[func]{minCostClimbingStairsDPComp}
```
=== "Zig"
```zig title="min_cost_climbing_stairs_dp.zig"
[class]{}-[func]{minCostClimbingStairsDPComp}
```
```src
[file]{min_cost_climbing_stairs_dp}-[class]{}-[func]{min_cost_climbing_stairs_dp_comp}
```
## 无后效性
@ -222,77 +86,9 @@ $$
最终，返回 $dp[n, 1] + dp[n, 2]$ 即可，两者之和代表爬到第 $n$ 阶的方案总数。
=== "Python"
```python title="climbing_stairs_constraint_dp.py"
[class]{}-[func]{climbing_stairs_constraint_dp}
```
=== "C++"
```cpp title="climbing_stairs_constraint_dp.cpp"
[class]{}-[func]{climbingStairsConstraintDP}
```
=== "Java"
```java title="climbing_stairs_constraint_dp.java"
[class]{climbing_stairs_constraint_dp}-[func]{climbingStairsConstraintDP}
```
=== "C#"
```csharp title="climbing_stairs_constraint_dp.cs"
[class]{climbing_stairs_constraint_dp}-[func]{ClimbingStairsConstraintDP}
```
=== "Go"
```go title="climbing_stairs_constraint_dp.go"
[class]{}-[func]{climbingStairsConstraintDP}
```
=== "Swift"
```swift title="climbing_stairs_constraint_dp.swift"
[class]{}-[func]{climbingStairsConstraintDP}
```
=== "JS"
```javascript title="climbing_stairs_constraint_dp.js"
[class]{}-[func]{climbingStairsConstraintDP}
```
=== "TS"
```typescript title="climbing_stairs_constraint_dp.ts"
[class]{}-[func]{climbingStairsConstraintDP}
```
=== "Dart"
```dart title="climbing_stairs_constraint_dp.dart"
[class]{}-[func]{climbingStairsConstraintDP}
```
=== "Rust"
```rust title="climbing_stairs_constraint_dp.rs"
[class]{}-[func]{climbing_stairs_constraint_dp}
```
=== "C"
```c title="climbing_stairs_constraint_dp.c"
[class]{}-[func]{climbingStairsConstraintDP}
```
=== "Zig"
```zig title="climbing_stairs_constraint_dp.zig"
[class]{}-[func]{climbingStairsConstraintDP}
```
```src
[file]{climbing_stairs_constraint_dp}-[class]{}-[func]{climbing_stairs_constraint_dp}
```
在上面的案例中，由于仅需多考虑前面一个状态，我们仍然可以通过扩展状态定义，使得问题重新满足无后效性。然而，某些问题具有非常严重的“有后效性”。