快读用fread啊(大雾)
by Xeonacid @ 2017-10-15 11:50:25
红名大佬们开始义务(装)教学(逼)了,%%%
by partychicken @ 2017-10-18 16:17:19
inline在递归的时候貌似用处不大吧?我觉得不如register
by Salamander @ 2017-10-18 16:19:30
@[Excailbur](/space/show?uid=20176) 正解
by middle_set @ 2017-10-18 16:44:47
Accepted
100 5356ms / 1.66MB
代码:2.5KB C++ 靶形数独
By 打杂的8 @2017-08-23 20:38:25
Unaccepted
80 2540ms / 1.66MB
代码:2.49KB C++ 靶形数独
By 打杂的8 @2017-08-23 20:37:03
Unaccepted
80 2944ms / 1.66MB
代码:2.48KB C++ 靶形数独
By 打杂的8 @2017-08-23 20:35:03
Unaccepted
95 4648ms / 1.67MB
代码:2.48KB C++ 靶形数独
By 打杂的8 @2017-08-23 20:34:15
Compile err
N/A N/A / N/A
代码:2.46KB C++ 靶形数独
By 打杂的8 @2017-08-23 20:33:14
Unaccepted
50 1832ms / 1.67MB
代码:2.54KB C++ 靶形数独
By 打杂的8 @2017-08-23 20:32:10
Compile err
N/A N/A / N/A
代码:2.52KB C++ 靶形数独
By 打杂的8 @2017-08-23 20:30:53
Unaccepted
95 4596ms / 1.66MB
代码:2.47KB C++ 靶形数独
By 打杂的8 @2017-08-23 20:29:22
Unaccepted
95 4528ms / 1.67MB
代码:2.47KB C++ 靶形数独
By 打杂的8 @2017-08-23 20:27:50
Unaccepted
95 5212ms / 1.67MB
代码:2.47KB C++ 靶形数独
By 打杂的8 @2017-08-23 20:27:06
Unaccepted
95 4428ms / 1.67MB
代码:2.47KB C++ 靶形数独
By 打杂的8 @2017-08-23 20:26:27
Unaccepted
80 2516ms / 1.67MB
代码:2.47KB C++ 靶形数独
By 打杂的8 @2017-08-23 20:25:50
Unaccepted
95 4112ms / 1.67MB
代码:2.47KB C++ 靶形数独
By 打杂的8 @2017-08-23 20:25:02
Unaccepted
55 204ms / 1.66MB
代码:2.47KB C++ 靶形数独
By 打杂的8 @2017-08-23 20:24:23
Unaccepted
40 44ms / 1.66MB
代码:2.47KB C++ 靶形数独
By 打杂的8 @2017-08-23 20:23:51
Unaccepted
40 24ms / 1.65MB
代码:2.47KB C++ 靶形数独
By 打杂的8 @2017-08-23 20:23:01
Unaccepted
80 2708ms / 1.66MB
代码:1.82KB C++ 靶形数独
By 打杂的8 @2017-08-23 20:09:33
Unaccepted
75 3596ms / 1.67MB
代码:1.82KB C++
当初我写的时候愣是卡了一页的常数才过
by 打杂的8 @ 2017-10-18 16:45:09
然而你可以在使用\_\_attribute\_\_指令来对单个函数进行O2优化,比inline快多了
by Satori @ 2017-10-18 16:51:46
事实证明:inline 在有 递归 与 循环 的函数里还会减慢速度。。。
我就是因为 乱加inline 从 90 掉到 85 的。。。
by 斯德哥尔摩 @ 2018-01-01 22:30:10