АЛгоритмФункция обновления ячейки C

АЛгоритмФункция обновления ячейки CA используется для развития нового состояния каждой ячейки.Алгоритм обновления ячейки выполняется в два этапа: этап движения и фаза заражения. Важно отметить, что эффекты фазы движения являются мгновенными, то есть клеточные популяции немедленно обновляютсядля отражения обходов клетки.На этапе заражения, хотя и осуществляется последовательно через решетку, каждая клетка развивается синхронно со всеми остальными. Опишем фазу движения1. Выберите случайную ячейку из мира.2. Для каждого человека в ячейке случайным образом выберите соседнюю ячейку.и переместить человека в него. Это движение зависит от движения параметр вероятности, описанный ранее, и ячейка назначения не полный.3. Повторите с первого шага, пока все клетки в мире не будут учтеныдля Фаза заражения и выздоровления.С учетом возможных отклонений опишем алгоритм.1. Выберите первую ячейку.2. Вычтите «естественную смерть» из популяции клеток.3. Вычтите смертельные случаи от вирусной заболеваемости.4. Добавьте к населению любых новорожденных.5. Добавьте любое количество иммигрантов.6. Вычислить межклеточные (векторные) инфекции.7. Вычислить внутриклеточные (контактные) инфекции.8. Вычислить спонтанные инфекции.9. Вычислить восстановление клетки.10. Вычислите повторно восприимчивые.11. Повторите с первого шага для следующей ячейки, пока все ячейки не будут учтены.Эта модель не учитывает другие параметры, такие как задержкаили время инкубации.Задержка - это задержка между заражением и заражением, а инкубация - это задержка между заражением и становится симптоматическим. Эти времена могут быть реализованы путем введения другое состояние, например "E" для незащищенных клеток, которые заражены, но инфекция в периоде инкубации.

Результаты (английский) 1:

Algorithms

upgradeable CA cell is used for the development of a new state of each yacheyki.Algoritm cell update is performed in two stages: stage movement and stage of infection. It is important to note that the phase motion effects are instantaneous, ie cell populations are immediately updated
to reflect the detours kletki.Na stage of the infection, although it is done sequentially through the lattice, each cell develops in sync with everyone else.
Let us describe the movement phase
1. Select a cell of a random world.
2. For each person in the cell randomly select an adjacent cell.
and move the person into it. This movement depends on the motion parameter probabilities described above, and the destination cell is not full.
3. Repeat with the first step until all cells in the world will not be considered
for the phase of infection and recovery.

Taking into account possible variations describe the algorithm.
1. Select the first cell.
2. Subtract the "natural death" of the cell population.
3. Subtract deaths from viral diseases.
4. Add to the population of all newborns.
5. Add any number of immigrants.
6. Calculate the intercellular (vector) infection.
7. Calculate intracellular (contact) infection.
8. Calculate the spontaneous infection.
9. Calculate the cell recovery.
10. Calculate again susceptible.
11. Repeat the first step to the next cell until all the cells are not taken into account.

This model does not take into account other parameters such as delay
or time inkubatsii.Zaderzhka - is the delay between infection and contamination, and incubation - is the delay between infection and becomes symptomatic. These times can be realized by introducing another state, for example "E" for the unprotected cells are infected, but infection incubation period.

Результаты (английский) 2:

Algorithm

The CA cell update function is used to develop a new state of each cell. It is important to note that the effects of the movement phase are instantaneous, meaning cell populations are immediately updated
to reflect cell bypasses.
Describe the phase of movement
1. Choose a random cell from the world.
2. For each person in the cell, randomly select a nearby cell.
and move the person into it. This movement depends on the motion of the probability parameter described earlier, and the destination cell is not complete.
3. Repeat from the first step until all the cells in the world are accounted for
for the infection and recovery phase.

Taking into account possible deviations, we will describe the algorithm.
1. Choose the first cell.
2. Subtract "natural death" from the cell population.
3. Subtract deaths from viral morbidity.
4. Add any newborns to the population.
5. Add any number of immigrants.
6. Calculate intercellular (vector) infections.
7. Calculate intracellular (contact) infections.
8. Calculate spontaneous infections.
9. Calculate cell recovery.
10. Calculate re-receptive.
11. Repeat from the first step to the next cell until all cells are accounted for.

This model does not take into account other parameters, such as latency
Delay is a delay between infection and infection, and incubation is a delay between infection and becoming symptomatic. These times can be realized by administering another condition, such as "E" for unprotected cells that are infected but infected during incubation.

Результаты (английский) 3:

algorithm
Cell renewal function is used to develop the new state of each cell. Cell renewal algorithm is divided into two stages: motion stage and pollution stage. It must be pointed out that the influence of the movement stage is instantaneous, that is, the cell population is immediately renewed.
In the infection stage, although it is continuously passing through the grid, the development of each cell is synchronized with that of other cells.
Describe the stage of movement
1. Choose a random cell from the world.
2. Everyone randomly selects a new cell in the cell.
And mobile people. This motion depends on the motion, the probability parameters previously described, and the target cell are incomplete.
3. Repeat from the first step until all the cell counts in the world.
Infection and recovery phase.
Considering the possible deviation, the algorithm is described.
1. Select the first cell.
2. Subtract "natural death" from the cell population.
3. Less deaths and viral infections.
4. Add any newborns.
5. Add any number of immigrants.
6. Intercellular infection was calculated.
7. Calculate intracellular infection).
8. Spontaneous infection was calculated.
9. Calculate cell recovery.
10. Calculation is again sensitive.
11. Repeat the next cell from the first step until all the cells count.
The model does not consider other parameters, such as delay
Delay is the delay between infection and infection, and incubation is the delay between infection and symptoms. This period can be achieved by introducing another state of the "e" class, such as "for unprotected cells infected but in incubation period".