BFGSAlgorithm

BFGSAlgorithm

BFGSAlgorithm(count: int)

Bases: Algorithm

Broyden-Fletcher-Goldfarb-Shanno (BFGS) solution algorithm.

BFGSAlgorithm performs successive rank-two updates of the tangent stiffness matrix, optimized for symmetric systems to accelerate convergence.

Tcl form

algorithm BFGS <count>

Example

from femora.core.model import Model

model = Model()
algo = model.analysis.algorithm.bfgs(count=10)

Create a BFGS solution algorithm.

Parameters:

Name	Type	Description	Default
count	int	Number of iterations before reforming the tangent stiffness matrix.	required

Raises:

Type	Description
ValueError	If count is not a positive integer.