Search Results for "lagrange"

RASP (Reconstruct Ancestral State in Phylogenies) is a tool for inferring ancestral state using S-DIVA (Statistical dispersal-vicariance analysis), Lagrange (DEC), Bayes-Lagrange (S-DEC), BayArea, BBM (Bayesian Binary MCMC) method, Bayestraits and BioGeoBEARS packages. All documentation and source code for RASP is freely available at: http://mnh.scu.edu.cn/soft/blog/RASP and http://github.com/sculab/RASP

...This implementation operates over the finite field GF(257), allowing correct handling of all byte values (0–255) without loss, making it compatible with any type of string or binary-compatible data. Main Features Complete implementation of Shamir Secret Sharing Arithmetic over GF(257) Compatible with all character strings Robust Lagrange interpolation Safe modular inverse computation Shares encoded in hexadecimal (3 characters per byte) Clear, well-commented source code ⚠️ Disclaimer This project is intended for educational and demonstration

Lagrange is a minimalist Jekyll theme for running a personal blog or site for free through Github Pages, or on your own server. Everything that you will ever need to know about this Jekyll theme is included in the README below, which you can also find in the demo site. For a guide on how to deploy a Jekyll site using GitHub Pages, please check out this article.

This package includes a collection of routines for the creation and operation of Non-Uniform Rational Lagrange (NURL) function geometries and its applications to isogeometric analysis of in-plane and flexural vibration of thin plates, based on the NURL toolbox by Bo Liu. The package includes 3 sub-packages: (1) a basic NURL package for the creation and operation of NURL geometries and isogeometric analysis. (2) A NURL curve package. This package includes routines for creation and operation of plane NURL curves such as curve creation, cutting, etc. (3) A graphic user interface (GUI) based on the NURL curve package. ...

...However, the GC filter is slightly modified. Please cite the following papers if you use a curvature filter in your work. Traditional solvers, such as gradient descent or Euler Lagrange Euqation, start at the total energy and use diffusion scheme to carry out the minimization. When the initial condition is the original image, the data fitting energy always increases while the regularization energy always reduces during the optimization. Thus, regularization energy must be the dominant part since the total energy has to decrease. ...

Java implementation of Shamir's Secret Sharing algorithm as described in Applied Cryptography [as LaGrange Interpolating Polynomial Scheme].

Python implementation of LaGrange, Bezier, and B-spline curves. The algorithms use their respective interpolation/basis functions, so are capable of producing curves of any order. The B-splines use Cox-De Boor and support knot insertion. 2-d only.

Implementation of various mathematical curves that define themselves over a set of control points. The API is written in Java. The curves supported are: Bezier, B-Spline, Cardinal Spline, Catmull-Rom Spline, Lagrange, Natural Cubic Spline, and NURBS.