結果
| 問題 | 
                            No.1077 Noelちゃんと星々4
                             | 
                    
| コンテスト | |
| ユーザー | 
                             lam6er
                         | 
                    
| 提出日時 | 2025-03-31 17:44:38 | 
| 言語 | PyPy3  (7.3.15)  | 
                    
| 結果 | 
                             
                                AC
                                 
                             
                            
                         | 
                    
| 実行時間 | 375 ms / 2,000 ms | 
| コード長 | 1,435 bytes | 
| コンパイル時間 | 344 ms | 
| コンパイル使用メモリ | 82,776 KB | 
| 実行使用メモリ | 84,096 KB | 
| 最終ジャッジ日時 | 2025-03-31 17:45:51 | 
| 合計ジャッジ時間 | 5,546 ms | 
| 
                            ジャッジサーバーID (参考情報)  | 
                        judge3 / judge4 | 
(要ログイン)
| ファイルパターン | 結果 | 
|---|---|
| sample | AC * 2 | 
| other | AC * 20 | 
ソースコード
n = int(input())
y = list(map(int, input().split()))
max_y_val = max(y) + n  # Maximum possible value after considering increments over N steps
# Initialize previous DP and cumulative minimum
prev_dp = [float('inf')] * (max_y_val + 1)
for current_y in range(max_y_val + 1):
    prev_dp[current_y] = abs(y[0] - current_y)
# Compute cumulative minimum for the first step
min_dp_prev = [float('inf')] * (max_y_val + 1)
current_min = float('inf')
for current_y in range(max_y_val + 1):
    if prev_dp[current_y] < current_min:
        current_min = prev_dp[current_y]
    min_dp_prev[current_y] = current_min
# Process each subsequent point
for i in range(1, n):
    curr_dp = [float('inf')] * (max_y_val + 1)
    for current_y in range(max_y_val + 1):
        if current_y > max_y_val:
            continue
        current_cost = min_dp_prev[current_y] + abs(y[i] - current_y)
        curr_dp[current_y] = current_cost
    # Update cumulative minimum for the current step
    min_dp_curr = [float('inf')] * (max_y_val + 1)
    current_min = float('inf')
    for current_y in range(max_y_val + 1):
        if curr_dp[current_y] < current_min:
            current_min = curr_dp[current_y]
        min_dp_curr[current_y] = current_min
    # Update previous values for next iteration
    prev_dp, min_dp_prev = curr_dp, min_dp_curr
# The minimum value from the last step's cumulative minimum array is the answer
print(min(min_dp_prev))
            
            
            
        
            
lam6er