You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
The transition rates may have various dimensions.
Examples:
mu is the transition rate between R and empty and empty and S.
What is the dimension of this rate? mu is a scalar or more generally, a tensor (multi-dimensional array) depending on the number of concerns and heterogeneity. For example, when concerns are status and species, mu maybe be a 2-rank tensor.
beta is the transition rate between S and I
What is the dimension of this rate?
beta is more complex than the other transition rate, because it can be heterogeneous on the state of 2 individuals: the S one and the I one. If there are n concerns, the dimension of beta may be up to 2*n.
Requirements
The transition rates may have various dimensions.
Examples:
mu
is the transition rate between R and empty and empty and S.What is the dimension of this rate?
mu
is a scalar or more generally, a tensor (multi-dimensional array) depending on the number of concerns and heterogeneity. For example, when concerns are status and species, mu maybe be a 2-rank tensor.beta
is the transition rate between S and IWhat is the dimension of this rate?
beta is more complex than the other transition rate, because it can be heterogeneous on the state of 2 individuals: the S one and the I one. If there are
n
concerns, the dimension of beta may be up to2*n
.Implementation and tests
One solution is to use TensorFlow: https://github.com/PolyMathOrg/libtensorflow-pharo-bindings
Operations to define
The text was updated successfully, but these errors were encountered: