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and it becomes an equality when the state-space model is deterministic.
Although our model is deterministic, it is useful to comment on possibility to take uncertainty about its parameters into account.
Since the model is deterministic, it will return the same result if run under the same conditions.
In all of the cases, P n becomes zero if the model is deterministic and the filter order is exactly that of a system.
Although the PRAM model is deterministic, it is easy to see that its members can be used to efficiently simulate the operation of a non-deterministic Turing machine \(N\) by recruiting sufficiently many processors to carry out all paths in a given computation tree for \(N\) in parallel.
This allows the simulation of trajectories leading to extinction as in a stochastic framework, even though this model is deterministic.
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Since the simulation results provided by the MR-FDPF model are deterministic, the extracted shadow fading from the MR-FDPF model is also deterministic.
The ODE model was deterministic and captured only population averaged behavior.
Second, Claidière and Sperber (2007) point out that attractors in Henrich and Boyd (2002) model are deterministic.
Since the analysed model was deterministic, we assumed that a higher number of state trajectories would be predicted with high accuracy from the input parameters using a nonlinear metamodel.
The R2 values (coefficient of determination) are about 0.99, indicating the linear relationship between PL (in decibel) and distance, as these models are deterministic.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com