ham: Hamiltonian
In BenjiUvA/Learning_Ising_Model: LIMA data simulation
Description
Takes in a vector of thresholds, a matrix of interactions, and a configuration of the network
Usage
1
ham(tau, omega, X)
Arguments
tau
is a vector with a threshold for each node
omega
is a (symmetrical) matrix with the strength of connection between each nodes. Set the the diagonal to zero.
X
is a configuration of the network (e.g. if there are three nodes, c(-1,1,-1))
BenjiUvA/Learning_Ising_Model documentation built on June 8, 2019, 3:44 a.m.
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Description
Takes in a vector of thresholds, a matrix of interactions, and a configuration of the network
Usage
1 | ham(tau, omega, X)
|
Arguments
tau |
is a vector with a threshold for each node |
omega |
is a (symmetrical) matrix with the strength of connection between each nodes. Set the the diagonal to zero. |
X |
is a configuration of the network (e.g. if there are three nodes, c(-1,1,-1)) |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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