Fire Minimizer

Definition

Name	Mesh>Fire
Type	Monte Carlo
Defined in	Vertex

The minimizer uses the FIRE algorithm to minimize energy [BKGahler+06].

Python calling

add .. code-block:: python

evolver.add_minimizer(“Mesh>Fire”, {“dt”: “0.01”, “max_iter”: “100000”, “ftol”: “0.0001”, “etol”: “0.0000001”})

run .. code-block:: python

evolver.minimize()

get minimizer information

evolver.get_minimizer_info()

set

evolver.set("Mesh>Fire", {"dt": "0.1"})

delete

evolver.delete_minimizer("Mesh>Fire")

Property

max_iter Maximum iteration number in each run.

type: int default: 10000

dt Time step. dt_max = 10*dt.

type: double default: 0.001

ftol Force criteria used for convergence.

type: double default: 0.1

etol Energy criteria used for convergence.

type: double default: 0.001

Finc Fractional increase in timestep.

type: double >1 default: 1.1

Fdec Fractional decrease in timestep.

type: double between 0-1 default: 0.5

AlphaStart Initial alpha.

type: double between 0-1 default: 0.1

Falpha Fractional decrease in alpha.

type: double between 0-1 default: 0.99