Computational Mathematics course final project
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Updated
Feb 20, 2016 - MATLAB
Computational Mathematics course final project
Jacobian and Hessian of a vector function.
A mathematic implementation in c++
Assignments for MA209 Numerical Methods course at NITK Surathkal
Robot Tool Calibration of an Active Pen with Python using an Enabled Surface from Anoto Technology
Extended Kalman Filters Are useful when there is an Non Linearity in the su=ystem and the estimation/prediction and measurement step requires a Jacobian matrix( first Derivative in the Taylor Series) is required to transform and work optimally.
Implementation of several numerical algorithms
Forward and Inverse Kinematics for Robotic Manipulator
Code for implementing and experimenting with cooperative manipulation controllers. Includes a controller based on a novel extended relative Jacobian formulation.
Jacobian Inverse Kinematic using Automatic Differentiation
Kinematic analysis of KUKA LBR iiwa 7DOF manipulator
Repo containing several simulations I performed with Matlab during my M.S in Chemical Engineering at N.C State University
Used Similiarity-Based Recommender (Jacobian) and Latent Factor Recommendation Model to Make Game Recommendations and Predict Ratings
A Kalman Kilter is used to estimate the state of a moving object of interest with noisy lidar and radar measurements. RMSE values are lower than a specified tolerance.
State Estimation of a 3D Quad with the use of Bayes Rules (Extended Kalman Filter)
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