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onjo0127
Ruby V 48.78%
282,952,980 / 580,075,320−297,122,340
Ruby V 48.78%282,952,980 / 580,075,320−297,122,340
레벨
문제EXP
▪ B5
613.7%29,2800.0%
▪ B4
462.8%30,9120.0%
▪ B3
17110.4%163,1340.0%
▪ B2
20912.7%287,1660.0%
▪ B1
835.0%165,3360.0%
▪ S5
955.8%276,3550.0%
▪ S4
764.6%324,9760.0%
▪ S3
895.4%563,2810.0%
▪ S2
654.0%612,9500.1%
▪ S1
885.3%1,244,7600.1%
▪ G5
764.6%1,617,8880.1%
▪ G4
684.1%2,185,8600.2%
▪ G3
603.6%2,921,9400.3%
▪ G2
332.0%2,442,7590.2%
▪ G1
321.9%3,612,3200.3%
▪ P5
462.8%7,944,8440.7%
▪ P4
402.4%10,604,6800.9%
▪ P3
462.8%18,780,8801.7%
▪ P2
362.2%22,708,5122.0%
▪ P1
332.0%32,264,9912.8%
▪ D5
412.5%62,335,0065.5%
▪ D4
432.6%101,986,1539.0%
▪ D3
251.5%92,795,5508.2%
▪ D2
100.6%58,275,6005.1%
▪ D1
130.8%119,319,29110.5%
▪ R5
181.1%261,033,89422.9%
▪ R4
30.2%68,956,4556.1%
▪ R3
40.2%146,187,68412.9%
▪ R2
20.1%116,584,67810.2%
▪ R1
00.0%00.0%
태그
문제EXP
▪ 자료 구조
21012.8%555,689,06948.9%
▪ 다이나믹 프로그래밍
22413.6%399,339,20535.1%
▪ 세그먼트 트리
1036.3%374,998,40833.0%
▪ 트리
794.8%303,323,68626.7%
▪ 그리디 알고리즘
915.5%261,936,67523.0%
▪ 그래프 이론
17810.8%250,733,81022.0%
▪ 분할 정복
352.1%235,919,65620.7%
▪ 이분 탐색
694.2%165,019,12614.5%
▪ 오프라인 쿼리
291.8%138,502,58012.2%
▪ 분리 집합
311.9%126,228,77411.1%
▪ 분할 정복을 사용한 최적화
50.3%103,240,6319.1%
▪ 트리에서의 다이나믹 프로그래밍
231.4%96,946,0728.5%
▪ Heavy-light 분할
90.5%83,398,9337.3%
▪ 병렬 이분 탐색
60.4%82,489,6537.3%
▪ 기하학
452.7%72,921,3936.4%
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