LinearExtrapolationPredictor

Source: models/common/LinearExtrapolationPredictor.py

Use temporal extrapolation assuming constant rate of change as the initial guess for the unknowns at the current time step. The linear extrapolation can be written as \(u = u_n + (u_n - u_{n-1}) \frac{t - t_n}{t_n - t_{n-1}}\), where \(u\) is the unknown and \(n\) is the time step counter, respectively.

Other options

time — str · default t

Time

unknowns_SR2 — list

The unknowns to extrapolate of type SR2

unknowns_Scalar — list

The unknowns to extrapolate of type Scalar

unknowns_Rot — list

The unknowns to extrapolate of type Rot

unknowns_R2 — list

The unknowns to extrapolate of type R2