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Questions tagged [timestep]

36 questions
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scipy.integrate.odeint time dependend stepsize

I have the following problem: I have to use an ode-solver to solve a chemical reaction equation. The rate constants are functions of time and can suddenly change (puls from electric discharge). One way to solve this is to keep the stepsize very…
Matthias K
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Set step-time as a variable in Simulink exported code

I've developed a controller in Simulink and am trying to export it as a pure C class using Simulink coder for deployment on our microcontroller. We are using a fixed step solver in simulation, however, when the exported code gets used on our actual…
Jeff
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Fix Your Timestep: Why not just plug in the remaining dt?

Gaffer suggests doing linear interpolation between the previous state and the current state for rendering. The current state being 1 full fixed timestep apart from the previous state. But why not just plug in the remaining dt into the normal…
user363406
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Can we use time_step = 1 for sample by sample inference using LSTM?

I am using TensorFlow/ keras to train an LSTM model. The input to LSTM has to be in the following format: [sample, timestep, n_features] I collect sensor measurements from the robot (forces, moments) as my data and then I perform the windowing…
danielstankw
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Question regarding a While loop for time stepping

I am trying to write a While loop to track time. The code uses a default time step value. However, when the simulation time hits a desired time value, I want the code to recompute the time step to hit the desired value, but revert the time step to…
Shah Saud Alam
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Find the index of specific date in nc file

I want to find the time index corresponding to the date 2018-08-21 import netCDF4 from netCDF4 import num2date, date2num, date2index import numpy as np f=netCDF4.Dataset('../t.cdf') times=f.variables['time'] dates = num2date(times[:],…
madgravity96
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Influx at specific time with changing time step in DeSolve

I am making a population distribution model with ODEs and DDEs in DeSolve with the method lsoda. In this model I want to have an influx of the population at a specific time (a specific day). A very simple example: dn1dt=influx - mortality The influx…
Laura
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Python Gravity Simulator only plots straight lines

I'm trying to make a basic gravity sim using py but for some reason it plots all the lines as straight, I looked at a couple of examples when I got stuck but they all use similar equations / ways of plotting the data so not sure where I went wrong…
Epicyon Haydeni
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maximum time step of IDA solver in Open Modelica

In Open Modelica, in the settings of IDA solver, we can define the initial and maximum time step as well. In a simulation, I have set these parameters, but after simulation and checking the solutions points, I found the IDA has not bounded to the…
Alireza Masoom
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Combining timesteps in R

I want to combine 6-hour timesteps that are immediately following one another in order to see maximum Total_IVT during a single storm event. For example, 2019-5-15 has several observations at Hours 12 and 18, and the next day has an observation at…
Parit
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Relationship between memory cell and time step in LSTM

i'm studying LSTM model. Does one memory cell of hidden layer in LSTM correspond to one timestep? example code) model.add(LSTM(128, input_shape = (4, 1))) When implementing LSTMs in Keras, can set the number of memory cells, as in the example code,…
phyzik
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Keras loaded model output is different from the training model output

When I train my model it has a two-dimension output - it is (none, 1) - corresponding to the time series I'm trying to predict. But whenever I load the saved model in order to make predictions, it has a three-dimensional output - (none, 40, 1) -…
Marlon Teixeira
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How to calculate distance and time between two locations

Here's a sample of some data Tag.ID TimeStep.coa Latitude.coa Longitude.coa 1 1657 2017-08-17 12:00:00 72.4 -81.1 2 1657 2017-08-17 18:00:00 72.3 …
ljh2001
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How do I output multiple time steps in a classification NN?

I would like to predict multiple timesteps into the future. My current NN outputs a sparse classification of 0, 1 or 2. Sparse classifications outputs via a SoftMax Dense layer with 3 neurons to correspond to the three categories mentioned above.…
Just_Learning
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What is the difference between timesteps and features in LSTM?

I have a dataframe representing numerical values in many time periods, and I have formatted that dataframe in the way there are represented as a concatenation of previous values. For example: +------+------+------+ | t1 | t2 | t3 …
jartymcfly
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