UVA - 111 History Grading
Submit Status Description BackgroundMany problems in Computer Science involve maximizing some measure according to constraints. Consider a history exam in which students are asked to put several historical events into chronological order. Students who order all the events correctly will receive full credit, but how should partial credit be awarded to students who incorrectly rank one or more of the historical events? Some possibilities for partial credit include: 1 point for each event whose rank matches its correct rank1 point for each event in the longest (not necessarily contiguous) sequence of events which are in the correct order relative to each other.For example, if four events are correctly ordered 1 2 3 4 then the order 1 3 2 4 would receive a score of 2 using the first method (events 1 and 4 are correctly ranked) and a score of 3 using the second method (event sequences 1 2 4 and 1 3 4 are both in the correct order relative to each other). In this problem you are asked to write a program to score such questions using the second method. The ProblemGiven the correct chronological order of n events The InputThe first line of the input will consist of one integer n indicating the number of events with The OutputFor each student ranking of events your program should print the score for that ranking. There should be one line of output for each student ranking. Sample Input 14 4 2 3 1 1 3 2 4 3 2 1 4 2 3 4 1 Sample Output 11 2 3 Sample Input 210 3 1 2 4 9 5 10 6 8 7 1 2 3 4 5 6 7 8 9 10 4 7 2 3 10 6 9 1 5 8 3 1 2 4 9 5 10 6 8 7 2 10 1 3 8 4 9 5 7 6 Sample Output 26 5 10 9 Source Root :: Competitive Programming 2: This increases the lower bound of Programming Contests. Again (Steven & Felix Halim) :: Problem Solving Paradigms :: Dynamic Programming :: Longest Increasing Subsequence (LIS)Root :: AOAPC I: Beginning Algorithm Contests (Rujia Liu) :: Volume 5. Dynamic Programming Root :: Competitive Programming 3: The New Lower Bound of Programming Contests (Steven & Felix Halim) :: Problem Solving Paradigms :: Dynamic Programming :: Longest Increasing Subsequence (LIS) Root :: Competitive Programming: Increasing the Lower Bound of Programming Contests (Steven & Felix Halim) :: Chapter 3. Problem Solving Paradigms :: Dynamic Programming :: Longest Increasing Subsequence (LIS) - Classical Submit Status |
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#include#include #include #include using namespace std; int n, t; int dp[25][25]; int a[25]; int tmp[25]; int main() { cin >> n; for(int i = 0; i < n; i++) { cin >> t; a[t
