FatMouse's Speed Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others)Total Submission(s): 13643 Accepted Submission(s): 6011Special Judge Problem Description FatMouse believes that the fatter a mouse is, the faster i
J. FatMouse's Speed FatMouse believes that the fatter a mouse is, the faster it runs. To disprove this, you want to take the data on a collection of mice and put as large a subset of this data as possible into a sequence so that the weights are incre
FatMouse's Speed Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others) Total Submission(s): 14980 Accepted Submission(s): 6618 Special Judge Problem Description FatMouse believes that the fatter a mouse is, the faster
FatMouse's Speed Time Limit:1000MS Memory Limit:32768KB 64bit IO Format:%I64d & %I64u Submit Status Practice HDU 1160 Description FatMouse believes that the fatter a mouse is, the faster it runs. To disprove this, you want to take the data on
FatMouse's Speed Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others)Total Submission(s): 13133 Accepted Submission(s): 5778Special Judge Problem Description FatMouse believes that the fatter a mouse is, the faster i
FatMouse's Speed Time Limit: 2 Seconds Memory Limit:65536 KB Special Judge FatMouse believes that the fatter a mouse is, the faster it runs. To disprove this, you want to take the data on a collection of mice and put as large a subset of thi
FatMouse's Speed Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others) Total Submission(s): 20803 Accepted Submission(s): 9227Special Judge Problem Description FatMouse believes that the fatter a mouse is, the faster
http://acm.hdu.edu.cn/showproblem.php?pid=1160 FatMouse's Speed Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others)Total Submission(s): 12338 Accepted Submission(s): 5405Special Judge Problem Description FatMouse be
FatMouse's Speed Time Limit: 2 Seconds Memory Limit:65536 KB Special Judge FatMouse believes that the fatter a mouse is, the faster it runs. To disprove this, you want to take the data on a collection of mice and put as large a subset of thi
FatMouse's Speed Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others)Total Submission(s): 7213 Accepted Submission(s): 3181Special Judge Problem Description FatMouse believes that the fatter a mouse is, the faster it
J - FatMouse's Speed DP的题写得多了慢慢也有了思路,虽然也还只是很简单的DP. 因为需要输出所有选择的老鼠,所以刚开始的时候想利用状态压缩来储存所选择的老鼠,后面才发现n太大1<<1000根本存不下来... 思路的话其实也不难,把体重排序之后,对速度求一个最长下降子序列即可. 对于每一次求最长有序子序列,只需要全部遍历一遍,遍历的时候,将该位置作为所选择序列的最后一个元素,DP[i]即为该序列的最大长度. 代码: // Created by CAD on 2019/10/
FatMouse's Speed Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others)Total Submission(s): 24573 Accepted Submission(s): 10896Special Judge Problem Description FatMouse believes that the fatter a mouse is, the faster
Problem Description FatMouse believes that the fatter a mouse is, the faster it runs. To disprove this, you want to take the data on a collection of mice and put as large a subset of this data as possible into a sequence so that the weights are incre
FatMouse believes that the fatter a mouse is, the faster it runs. To disprove this, you want to take the data on a collection of mice and put as large a subset of this data as possible into a sequence so that the weights are increasing, but the speed
Problem Description FatMouse believes that the fatter a mouse is, the faster it runs. To disprove this, you want to take the data on a collection of mice and put as large a subset of this data as possible into a sequence so that the weights are incre
Problem Description FatMouse believes that the fatter a mouse is, the faster it runs. To disprove this, you want to take the data on a collection of mice and put as large a subset of this data as possible into a sequence so that the weights are incre
Problem Description FatMouse believes that the fatter a mouse is, the faster it runs. To disprove this, you want to take the data on a collection of mice and put as large a subset of this data as possible into a sequence so that the weights are incre