Computer graphics samples
-
Updated
Sep 22, 2016 - JavaScript
Computer graphics samples
Python functions for numerical analysis: numerical schemes for ODEs, linear algebra, linear/non-linear/iterative solvers, interpolation, and regression analysis.
A collection of machine learning tools
Octave cubic spline implementation with hermite basis
Our workflow designed to capture the distinct temporal molecular signatures associated with the temporal profile of various types of disease pathogenesis.
A library for fitting functions to sets of data.
Research on Risk and Returns to education
Algoritmos de cálculo numérico usados para estudos e análise de complexidade
A collection of Python programs that helps in Numerical Analysis.
This git repository is an implementation of polynomials and their use for interpolation.
A python script to reduce the way points for a robot while still trying to retain the original path trajectory
simpline is a simple constant-speed natural cubic spline interpolation library for 3D points
This repository contains Epitech Maths Project (Class 2023).
R and C++ codes that can be used to replicate the empirical results obtained in the paper "Time-varying state correlations in state space models and their estimation via indirect inference" by Caterina Schiavoni, Siem Jan Koopman, Franz Palm, Stephan Smeekes and Jan van den Brakel.
Python implementation (without external math libraries) of Lagrange and Cubic spline interpolation.
ROS Path Planning (Bezier, Bezier Spline, Cubic Spline, Dubins, Line, Ellipse, Circle and Arc)
Common used curves for motion planning.
Algorithm for cubic spline interpolation with adaptive knot placement.
Add a description, image, and links to the cubic-splines topic page so that developers can more easily learn about it.
To associate your repository with the cubic-splines topic, visit your repo's landing page and select "manage topics."