Gradients of propensity functions

Store the partial derivatives of a JointTimeVaryingPropensity instance.

Fields

• pardiffs: Vector of callables, whose length is the number of model parameters. Each of these callables has syntax pardiffs[i](t,x,p)::Real where t is time, x is the state vector and p the parameter vector.

Base type for all propensity gradients.

Store the partial derivatives of a SeparableTimeVaryingPropensity instance.

Fields

• tfactor: Callable in the form tfactor(t,p) where t is time, p is parameter vector.
• statefactor: Callable in the form statefactor(x,p) where x is CME state, p the parameter vector.
• tfactor_pardiffs: Vector of callables. Each of these callables has syntax tfactor_pardiffs[i](t,p)::Real where t is time variable and p the parameter vector.
• statefactor_pardiffs: Vector of callables, whose length is the number of model parameters. Each of these callables has syntax statefactor_pardiffs[i](x,p)::Real where x is the state vector and p the parameter vector.

Store the partial derivatives of a StandardTimeInvariantPropensity instance.

Fields

• pardiffs: Vector of callables, whose length is the number of model parameters. Each of these callables has syntax pardiffs[i](x,p)::Real where x is the state vector and p the parameter vector.