rk4_step_backwards: Custom internal RK4 solver for solving the backward pass of...
In tfNeuralODE: Create Neural Ordinary Differential Equations with 'tensorflow'
rk4_step_backwards R Documentation
Custom internal RK4 solver for solving the backward pass of the Neural ODE.
Description
Custom internal RK4 solver for solving the backward pass of the Neural ODE.
Usage
rk4_step_backwards(backward_dynamics, dt, state, model)
Arguments
backward_dynamics
The backward dynamics function for the Neural ODE.
dt
The time step to solve the ODE on.
state
The current state of the differential equation.
model
The neural network that defines the Neural ODE.
Value
An output list with the updated backwards state.
tfNeuralODE documentation built on Oct. 17, 2023, 1:10 a.m.
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| rk4_step_backwards | R Documentation |
Custom internal RK4 solver for solving the backward pass of the Neural ODE.
Description
Custom internal RK4 solver for solving the backward pass of the Neural ODE.
Usage
rk4_step_backwards(backward_dynamics, dt, state, model)
Arguments
backward_dynamics |
The backward dynamics function for the Neural ODE. |
dt |
The time step to solve the ODE on. |
state |
The current state of the differential equation. |
model |
The neural network that defines the Neural ODE. |
Value
An output list with the updated backwards state.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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