euler_step: A function to employ the Euler Method to solve an ODE.
In tfNeuralODE: Create Neural Ordinary Differential Equations with 'tensorflow'
euler_step R Documentation
A function to employ the Euler Method to solve an ODE.
Description
A function to employ the Euler Method to solve an ODE.
Usage
euler_step(func, dt, state)
Arguments
func
The derivative function.
dt
The time step for the Euler solver.
state
A list that defines the current state of the ODE, with one entry
being a number, and the other being a tensor which describes the function state.
Value
A list that describes the updated state of the ODE.
tfNeuralODE documentation built on Oct. 17, 2023, 1:10 a.m.
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| euler_step | R Documentation |
A function to employ the Euler Method to solve an ODE.
Description
A function to employ the Euler Method to solve an ODE.
Usage
euler_step(func, dt, state)
Arguments
func |
The derivative function. |
dt |
The time step for the Euler solver. |
state |
A list that defines the current state of the ODE, with one entry being a number, and the other being a tensor which describes the function state. |
Value
A list that describes the updated state of the ODE.
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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