Commit f80c1a7b by Victor

 ... ... @@ -38,11 +38,11 @@ gplot(g, collect(1:nodes), collect(1:nodes)) ## Defining competition processes We propose that any individual have a constant birth rate, and competes with all the individuals present in the same patch. Assume there are N_t individuals at time t. Let i \in \{ 1,2,\dots,N_t\}. x_{i,t} \in \{1,2,\dots,9\} denotes the position of the i-th individual at time t. Let i \in \{ 1,2,\dots,N_t\}. x_{i} \in \{1,2,\dots,9\} denotes the position of the i-th individual. The competition pressure experienced by individual i is such that math d(x_{i,t}) = \sum_j^{N(t)} \delta(x_{i,t}-x_{j,t}) d(x_{i},t) = \sum_j^{N(t)} \delta(x_{i}-x_{j})  where \delta is the dirac function. ... ...
 ... ... @@ -16,7 +16,7 @@ A particular event, birth or death, is chosen at random with a probability equal ### Time steps An event is exponentiallly distributed in time, with parameter \lambda = U(t). This makes events memoryless, meaning that the probability of having a birth or death event is always the same, no matter when (P(X > s_t | X > t) = P(X > s) . !!! tip "Inversion method" @autodocs Modules = [ABMEv] ... ...