| № | Пользователь | Рейтинг |
|---|---|---|
| 1 | tourist | 4009 |
| 2 | jiangly | 3823 |
| 3 | Benq | 3738 |
| 4 | Radewoosh | 3633 |
| 5 | jqdai0815 | 3620 |
| 6 | orzdevinwang | 3529 |
| 7 | ecnerwala | 3446 |
| 8 | Um_nik | 3396 |
| 9 | ksun48 | 3390 |
| 10 | gamegame | 3386 |
| Страны | Города | Организации | Всё → |
| № | Пользователь | Вклад |
|---|---|---|
| 1 | cry | 167 |
| 2 | Um_nik | 163 |
| 3 | maomao90 | 162 |
| 3 | atcoder_official | 162 |
| 5 | adamant | 159 |
| 6 | -is-this-fft- | 158 |
| 7 | awoo | 157 |
| 8 | TheScrasse | 154 |
| 9 | Dominater069 | 153 |
| 9 | nor | 153 |
Hi,
I have a transition matrix ( the size ~ 50x50), and a starting probability, and I would like to calculate the first visit expectation value an special node! I can made it by simple simulation, but I had to wait about 4x10^9 iteration to stabilize the value. Is there a way to made it simpler?
Случайно написал в русский интерфейс.
Sure, you can just write a system of equations and solve it using Gaussian elimination or whatever. The variables are the required expectations. For the specified node it is zero, for others – it is a linear combination of the neighboring variables (coefficients are transition probabilities).