sisl.mixing.LinearMixer

class sisl.mixing.LinearMixer

Bases: BaseHistoryWeightMixer

Linear mixing

The linear mixing is solely defined using a weight, and the resulting functional may then be calculated via:

$${\mathbf{f}}^{i+1}={\mathbf{f}}^i+w\delta {\mathbf{f}}^i$$

Parameters:

weight (float, optional) – mixing weight

Methods

set_history(history)	Replace the current history in the mixer with a new one
set_weight(weight)	Set a new weight for this mixer

Attributes

history	History object tracked by this mixer
weight	This mixers mixing weight, the weight is the fractional contribution of the derivative

__call__(f, df, append=True)

Calculate a new variable ${\mathbf{f}}^{\prime }$ using input and output of the functional

Parameters:

• f (object) – input variable for the functional

• df (object) – derivative of the functional

• append (bool, optional) – whether to append to the history

Return type:

T

set_history(history)

Replace the current history in the mixer with a new one

Parameters:

history (int | History) – if an int a new History object will be created with that number of history elements Otherwise the object will be directly attached to the mixer.

Return type:

None

set_weight(weight)

Set a new weight for this mixer

Parameters:

weight (float) – the new weight for this mixer, it must be bigger than 0

property history: History

History object tracked by this mixer

property weight: float | int

This mixers mixing weight, the weight is the fractional contribution of the derivative