SecantNewtonAlgorithm

SecantNewtonAlgorithm(tang_iter: str = 'current', tang_incr: str = 'current', max_dim: int = 3)

Bases: Algorithm

Secant-Newton accelerated solution algorithm.

SecantNewtonAlgorithm uses two-term secant updates of the stiffness matrix to accelerate equilibrium iteration convergence without reforming the full tangent.

Tcl form

algorithm SecantNewton [-iterate <type>] [-increment <type>] [-maxDim <dim>]

Example

from femora.core.model import Model

model = Model()
algo = model.analysis.algorithm.secantnewton(tang_iter="initial")

Create a Secant-Newton solution algorithm.

Parameters:

Name	Type	Description	Default
`tang_iter`	`str`	Tangent to iterate on. Must be `'current'`, `'initial'`, or `'noTangent'`.	`'current'`
`tang_incr`	`str`	Tangent to increment on. Must be `'current'`, `'initial'`, or `'noTangent'`.	`'current'`
`max_dim`	`int`	Max number of iterations before reforming the tangent.	`3`

Raises:

Type	Description
`ValueError`	If tang_iter or tang_incr is not a valid option.