A fluent façade for NLS support in Java
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Updated
Jul 26, 2016 - Java
A fluent façade for NLS support in Java
Fits one of three functions (inverse quadratic, bell-shaped, or waiting-in-line) to x, y data using nls.
NLS algorithm for estimation has been implemented successfully and has provided good estimates for all range of frequencies. It has also been tested for different sampling frequencies and this estimator is better compared to autocorrelation method as it doesn’t require any pre-processing. The NLS method is statistically efficient if the noise is…
Paper documenting the nlsur package for R
Forecasting confirmed cases on 31st Jan and 1st Feb 2020
Client for NLS's open data change ATOM feed. List available products and loads & keeps datasets up to date
The Natural Language Shell project uses language you naturally use to simplify and decomplicate the command line
X/Open Native Language System (NLS) for Ada
This repository contains my solutions to the tests in GSOC(2021)'s R-project - "Improvement to nls()"
An R package to compare different packages for nonlinear least squares wrt reference values
Runge-Kutta adaptive-step solvers for nonlinear PDEs. Solvers include both exponential time differencing and integrating factor methods.
Spectral Integration and Differentiation Algorithms. Includes FFTs, Chebyshev Transforms, and Hankel transforms. Exponential time differencing and integrating factor Runge-Kutta methods.
ChatGPT Telegram Bot Powered by GPT 3.5 Turbo Language Model
Localisation for VSCode Extensions using package.nls.json files.
Add a description, image, and links to the nls topic page so that developers can more easily learn about it.
To associate your repository with the nls topic, visit your repo's landing page and select "manage topics."