# Create a function for advancing the state of an SPN by using a simple continuous deterministic Euler integration method

### Description

This function creates a function for advancing the state of an SPN model using a simple continuous deterministic Euler integration method. The resulting function (closure) can be used in conjunction with other functions (such as `simTs`

) for simulating realisations of SPN models.

### Usage

1 | ```
StepEulerSPN(N,dt=0.01)
``` |

### Arguments

`N` |
An R list with named components representing a stochastic
Petri net. Should contain |

`dt` |
Time step to be used by the simple Euler integration method. Defaults to 0.01. |

### Value

An R function which can be used to advance the state of the SPN model `N`

by using an Euler method with step size `dt`

. The function closure has interface `function(x0,t0,deltat,...)`

, where `x0`

and `t0`

represent the initial state and time, and `deltat`

represents the amount of time by which the process should be advanced. The function closure returns a vector representing the simulated state of the system at the new time.

### See Also

`StepGillespie`

, `StepODE`

, `StepCLE`

, `simpleEuler`

, `simTs`

, `simSample`

### Examples

1 2 3 4 5 6 7 8 9 10 |