double_pendulum | dynamical systems , a double pendulum | Machine Learning library

 by   BenjaminTanSF JavaScript Version: Current License: No License

kandi X-RAY | double_pendulum Summary

kandi X-RAY | double_pendulum Summary

double_pendulum is a JavaScript library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Numpy applications. double_pendulum has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

In physics and mathematics, in the area of dynamical systems, a double pendulum is a pendulum with another pendulum attached to its end, and is a simple physical system that exhibits rich dynamic behavior with a strong sensitivity to initial conditions. The motion of a double pendulum is governed by a set of coupled ordinary differential equations and is chaotic. Several variants of the double pendulum may be considered; the two limbs may be of equal or unequal lengths and masses, they may be simple pendulums or compound pendulums.
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            kandi-support Support

              double_pendulum has a low active ecosystem.
              It has 9 star(s) with 0 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              double_pendulum has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of double_pendulum is current.

            kandi-Quality Quality

              double_pendulum has 0 bugs and 1 code smells.

            kandi-Security Security

              double_pendulum has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              double_pendulum code analysis shows 0 unresolved vulnerabilities.
              There are 2 security hotspots that need review.

            kandi-License License

              double_pendulum does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              double_pendulum releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.
              It has 75 lines of code, 0 functions and 4 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed double_pendulum and discovered the below as its top functions. This is intended to give you an instant insight into double_pendulum implemented functionality, and help decide if they suit your requirements.
            • Draws the sketch Slider .
            • setup
            • calculate the angles
            • Calculate the ball locations of the ball .
            • updates the speed and velocity
            • This is the dampening logic .
            Get all kandi verified functions for this library.

            double_pendulum Key Features

            No Key Features are available at this moment for double_pendulum.

            double_pendulum Examples and Code Snippets

            No Code Snippets are available at this moment for double_pendulum.

            Community Discussions

            QUESTION

            Is np.linalg.solve() not working for AutoDiff?
            Asked 2020-Oct-29 at 21:01

            Does np.linalg.solve() not work for AutoDiff? I use is to solve manipulator equation. The error message is shown below. I try a similar "double" version code, it is no issue. Please tell me how to fix it, thanks!

            ...

            ANSWER

            Answered 2020-Oct-29 at 21:01

            Note that in pydrake, AutoDiffXd scalars are exposed to NumPy using dtype=object.

            There are some drawbacks to this approach, like what you have ran into now.
            This is not necessarily an issue with Drake, but a limitation on NumPy itself given the ufunc's that are implemented on the (super old) version that is on 18.04.

            To illustrate, here is what I see on Ubuntu 18.04, CPython 3.6.9, NumPy 1.13.3:

            Source https://stackoverflow.com/questions/64593813

            QUESTION

            name 'cc_library' is not defined
            Asked 2020-Oct-05 at 06:51

            Trying to build a C++ library in C++ and I've successfully confused myself

            tools/vector_gen.bzl

            ...

            ANSWER

            Answered 2020-Oct-05 at 06:51

            Inside a .bzl file the builtin definitions need to be qualified as native.cc_library

            Source https://stackoverflow.com/questions/64201175

            QUESTION

            Is Drake obeying joint limits in this case and how can I check?
            Asked 2020-Sep-17 at 17:27

            I'm trying to understand if Drake is following joint limits in this simple example.

            I have this URDF

            ...

            ANSWER

            Answered 2020-Sep-07 at 00:10

            Is Drake correctly obeying joint limits?

            Drake doesn't strictly obey the joint limits during simulation. It treats the joint limits as if a spring-damper system. When the joint exceeds the joint limits, the spring damper system applies a larger restoration force to push the joint back to within the joint limits.

            Is there a way to check this using the API and cout to the screen. Is there a way to read joint state from the simulation?

            You could use SignalLogger system, one example is in https://github.com/RobotLocomotion/drake/blob/9c30d5b73580616badd75905da7733ff64663bb8/examples/manipulation_station/joint_teleop.py#L118-L120, you could construct a SignalLogger, connect it to the robot state port, and after the simulation, you could read the logged robot state, similar to https://github.com/RobotLocomotion/drake/blob/9c30d5b73580616badd75905da7733ff64663bb8/examples/manipulation_station/joint_teleop.py#L157-L163

            Source https://stackoverflow.com/questions/63769864

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install double_pendulum

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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