Workshop

Moscow Pre-Finals ACM ICPC Workshop 2018, hosted by MIPT.

Petrozavodsk Camps
 

Match Score:
Europe
27
3942:00
:
35
5598:00
NEERC.NorthWest

Day 3 Division A. Moscow SU Red Panda Contest

Last success: 04:57:44, University of Warsaw (Kamil Dębowski, Mateusz Radecki, Marek Sommer), problem K
Last Submit: 04:59:21, Lviv NU: Algotesters (Andrii Makar, Taras Chaika, Mykhailo Pylyp), problem L

PlaceTeam nameA
0/0
B
7/13
C
5/10
D
8/10
E
8/13
F
4/4
G
0/3
H
2/3
I
8/9
J
8/13
K
2/10
L
6/55
M
4/6
TotalTimeDirtSE
1.
SPb ITMO U 1 (Ivan Belonogov, Ilya Zban, Mikhail Putilin)
-
+
2:02
+
1:22
+
0:30
+
0:50
+
3:30
-
+1
4:28
+
0:33
+3
1:05
+
4:38
+2
2:52
+1
2:42
11161238%0.30
2.
University of Warsaw (Kamil Dębowski, Mateusz Radecki, Marek Sommer)
-
+1
2:24
+
1:40
+
0:11
+
0:28
-
-1
0:32
+
2:58
+
0:16
+
0:49
+8
4:58
+
2:11
+
1:35
10123047%0.28
3.
SPb SU 3 (Pavel Savchenkov, Alexander Logunov, Vladislav Makarov)
-
+3
3:37
+3
3:52
+1
0:41
+
1:08
+
4:36
-
-
+
0:16
+
0:59
-
+
4:19
+
4:58
9160643%0.19
4.
Vilnius U: AllSubmissionsMatter (Domantas Jadenkus, Justas Klimavičius, Darius Kurtinaitis)
-
+
3:33
+1
1:53
+
0:46
+
0:33
-
-
-
+
0:15
+
1:51
-
+5
4:54
+1
2:42
8112746%0.16
5.
SPb AU: and Methods of Reality (Dmitry Sayutin, Tatiana Belova, Aleksandr Fyodorov)
-
+2
4:48
-
+
0:37
+
1:12
+
2:22
-1
2:12
-
+
0:18
+
2:39
-
+10
4:57
-
7125363%0.12
6.
University of Wroclaw 1 (Anadi Agrawal, Michał Górniak, Jarosław Kwiecień)
-
+
1:28
-
+
0:23
+1
2:10
+
4:39
-1
0:59
-
+1
0:34
+1
2:45
-
+14
4:45
-
7134470%0.12
7.
Lviv NU: Algotesters (Andrii Makar, Taras Chaika, Mykhailo Pylyp)
-
+
4:28
+1
3:35
+1
0:42
+2
2:06
-
-
-
+
0:21
+
1:45
-
-16
5:00
-
685740%0.08
8.
U of Bergen: Garbage Collectors (Davide Pallotti, Jan Soukup, Olav Røthe Bakken)
-
-
-
+
1:12
+2
3:37
-
-
-
+
0:37
+1
2:05
-
-2
3:58
-
451142%0.00
Submits sent:01310101343391310556149
Accepted:0
(0%)
7
(53%)
5
(50%)
8
(80%)
8
(61%)
4
(100%)
0
(0%)
2
(66%)
8
(88%)
8
(61%)
2
(20%)
6
(10%)
4
(66%)
62
(41%)
Dirt:0
(0%)
6
(46%)
5
(50%)
2
(20%)
5
(38%)
0
(0%)
0
(0%)
1
(33%)
1
(11%)
5
(38%)
8
(80%)
31
(83%)
2
(33%)
66
(51%)