Can be a rule there to transform the Top-Down
to Bottom-Up
?
# | User | Rating |
---|---|---|
1 | tourist | 3985 |
2 | jiangly | 3814 |
3 | jqdai0815 | 3682 |
4 | Benq | 3529 |
5 | orzdevinwang | 3526 |
6 | ksun48 | 3517 |
7 | Radewoosh | 3410 |
8 | hos.lyric | 3399 |
9 | ecnerwala | 3392 |
9 | Um_nik | 3392 |
# | User | Contrib. |
---|---|---|
1 | cry | 169 |
2 | maomao90 | 162 |
2 | Um_nik | 162 |
4 | atcoder_official | 160 |
5 | djm03178 | 158 |
6 | -is-this-fft- | 157 |
7 | adamant | 155 |
8 | Dominater069 | 154 |
8 | awoo | 154 |
10 | luogu_official | 150 |
Can be a rule there to transform the Top-Down
to Bottom-Up
?
i solve this problem using memoization recursive function (UVa 10306 — e-Coins) , but when i try bottom up i don't know how to make all possible sum pairs in 2d table using their rows and columns indexes , any ideas ? thanks in advance.
And i still asking myself until i become completely mad , how i detect the overlap or the building formula of the dp table in the non classical dynamic programming problem even though i solves the classical ones easily , i really have problem with this what should i do ? :/
is it possible to solve it by a recursive knapsack algorithm ? it take Time limit exceed when i memo it in 2d array , and if it is impossible how can i solve it by 1d subset sum ? thanks in advance :D
i wish that anyone explains to me in simple way the algorithm of the Longest Increasing Subsequence in O(nlogn) time , cuz i actually read all online articles about it and found no one explain it well , thanks in advance :)
Name |
---|