simulation

问题 What are good libraries for creating a python program for (visually appealing) 3D physics simulations/visualizations? I've looked at Vpython but the simulations I have seen look ugly, I want them to be visually appealing. It also looks like an old library. For 3D programming I've seen suggestions of using Panda3D and python-ogre but I'm not sure if it is really suited for exact simulations. Also, I would prefer a library that combines well with other libraries (E.g. pygame does not combine so

问题 Closed . This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 2 years ago . in the field of scientific simulations (physics) I am thinking about developing some new simulation package in C/C++. What do you think would be the best practices when starting here from scratch? Can you recommend some bibliography? Thanks 回答1: Here's something of a reading

问题 I have a CSV that gives me the x,z coordinates of a car with id at a given time t in seconds. Below is an excerpt data for a car with id=1 and it's coordinates over a few seconds. For the first three seconds, the car is stopped. It then turns left and continues straight for a few more seconds. At the moment I'm calculating the direction based on the next position and rotating the car to face towards that, but there is no 'curve' to the turn, it simply moves straight to the next position:

问题 Is it true that with the contemporary advanced SV RTL simulators, the simulation footprint may increase when using unpacked arrays vs the packed arrays? If so, is this a problem and do verification teams insist on rules to use packed arrays? TIA. Sanjay 回答1: "[Does] the simulation footprint may increase when using unpacked arrays vs the packed arrays?" It depends on the simulator allocates and accesses its memory. Most cases packed arrays will have a smaller memory footprint then unpacked

问题 I want to move a chart through using its chart range filter slider. i wan something like there is a play button on the screen .when i press play button then the range slider which is fixed some one or two minutes range are moving with specific interval of time. i will share my code with you. i want something like simulation. var chart = new google.visualization.ChartWrapper({ chartType: 'LineChart', containerId: 'chart_div', options: { //title: 'Phase 1 -Tower 44', hAxis: { format: ' yyyy-MMM

问题 I am currently trying to make a simulation in which multiple particle agents (blue dots) try to follow the enemy particle (red dot). I have managed to get my simulation to have one blue dot follow the red dot, but I am having trouble producing multiple version of the blue dots (also trying ot get it to appear at random initial locations) in the simulation and animating all of them to follow the red dot. Any ideas on how to fix this? Attempt to animate clones of blue particles: import numpy as

问题 I am looking for a solution to programmatically hold a keyboard key down during some time (I don't know how many time). I think that if I send a WM_KEYDOWN message the key will be held down until WM_KEYUP is send, but I am not sure. I would test it. But I need to go and I don't have much time. I want to see if someone already tested this. Here is an other question I posted, related to this one. I want to make a virtual keyboard. Do I need to send WM_KEYDOWN to the current active window or

问题 I've created a particle simulation (thing) with Three.js. I'm super happy with the simulation part of it, but for some reason I get a lot of screen flickering when I run it. The effect is more apparent on some machines / graphics cards, but I've noticed flickering with all of them. Here is the demo. Here is the source. Things I've tried: Narrowing the visible range on the camera Removing transparency from the PointCloud material Make each "simulator" have it's own camera, scene and mesh (I

问题 I have questions on the behavior I am seeing with applying Kalman Filter (KF) to the following forecast problem. I have included a simple code sample. Goal: I would like to know if KF is suitable for improving forecast/simulation result for a day ahead (at t+24 hours), using the measurement result obtained now (at t). The goal is to get the forecast as close to measurement as possible Assumption: We assume the measurement is perfect (ie. if we can get the forecast matches the measurement

问题 I would like to simulate quantities of interest from a model estimated with MCMCglmm more or less the way Zelig package does. In Zelig you can set the values you want for the independent values and software calculates the result for the outcome variable (expected value, probability, etc). An example: # Creating a dataset: set.seed(666) df <- data.frame(y=rnorm(100,20,20),z=rnorm(100,50,70)) # Loading Zelig library(Zelig) # Model m1.zelig <- zelig(y~z, data=df, model="ls") summary(m1.zelig) #