With SINUSOIDAL BLDC control. Offers much quieter and smoother motor operation.
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Updated
Jun 5, 2022 - C
With SINUSOIDAL BLDC control. Offers much quieter and smoother motor operation.
Numerical analysis methods implemented in Python.
This repository performs the kinematic, Dynamic analysis and trajectory planning for IRB 6620 Industrial robot using MATLAB. A detailed report consisting of mathematical calculations and results is also provided
An open-source library for generating trajectories (multi-axis, multi-segment) using two different methods (trapezoidal, polynomial).
A collection of python implementations using SWIG, Instant, F2PY... Optimization like Least Squares Levenberg-Marquardt. Boundary Value problem solvers. Integration Simpson/Trapezoidal. Interpolation like Cubic spline. Tridiagonal/pentadiagonal system of equations solver. Linear algebra like Matrix inversion (Gauss-Jordan) and much more
🚀 InterpolatePy: Python library for smooth trajectory generation with cubic splines, B-splines, and S-curves for robotics and motion planning applications.
Python and MATLAB code to find the definite integral of a user-defined function within given limits and defined iterations.
Free WordPress Plugin: Area calculator to find the surface area of the following shapes - rectangle, triangle, circle, sector, ellipse, trapezoid, and parallelogram. www.calculator.io/area-calculator/
Stweart Platform Simulation with Trapezoidal Velocity Trajectory Planner and Local Singularity Avoidance
Arduino library for controlling stepper motors with trapezoidal velocity profiles using interruptions.
This repo contains some of the well-known algorithms for Numerical Analysis.
Definite Integral calculator using Trapezoidal Rule, Simpson's Rule and Romberg's Method
Integration of any signal using Trapezoidal and Simpson's rule
Trapezoidal rule for definite integral using Dragon
A pascal program that calculates the definite integral of a function.
numerical integration using the Trapezoidal Rule
Trapezoidal Rule is an integration rule that evaluates the area under the curves by dividing the total area into smaller trapezoids.
Assignments for MA209 Numerical Methods course at NITK Surathkal
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