Topic: nls Goto Github
Some thing interesting about nls
Some thing interesting about nls
nls,This repository contains my solutions to the tests in GSOC(2021)'s R-project - "Improvement to nls()"
User: arkab-ds
nls,An R package to compare different packages for nonlinear least squares wrt reference values
User: arkab-ds
nls,Non-linear Schrodinger Equation Solver
User: daskol
nls,fldigi-macOS-NLS is a repository for fldigi binary files with NLS support compiled for macOS Sierra.
User: hk4qwc
Home Page: https://hk4qwc.github.io/fldigi-macOS-NLS/
nls,R package for the estimation of nonlinear least squares for equation systems
User: janmarvin
nls,Paper documenting the nlsur package for R
User: janmarvin
nls,ChatGPT Telegram Bot Powered by GPT 3.5 Turbo Language Model
User: legendify
Home Page: https://www.t.me/ChatGPTLegendBot
nls,X/Open Native Language System (NLS) for Ada
User: lkujaw
nls,Research project on the state of the field of Multilingual Digital Humanities, with an initial focus on Arabic
Organization: m-l-d-h
Home Page: https://m-l-d-h.github.io/Closing-The-Gap-In-Non-Latin-Script-Data/
nls,Fits one of three functions (inverse quadratic, bell-shaped, or waiting-in-line) to x, y data using nls.
User: markusloew
nls,Client for NLS's open data change ATOM feed. List available products and loads & keeps datasets up to date
User: pailakka
nls,A fluent façade for NLS support in Java
User: pdolezal
nls,The Natural Language Shell project uses language you naturally use to simplify and decomplicate the command line
User: saxfordshire
nls,Forecasting confirmed cases on 31st Jan and 1st Feb 2020
User: shaneymantri
nls,Localisation for VSCode Extensions using package.nls.json files.
User: sketchbuch
Home Page: https://www.npmjs.com/package/vscode-ext-localisation
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 modelled as white and Gaussian and much more accurate than the autocorrelation based methods. But a drawback of this algorithm is that it takes time to calculate the cost function matrix as it involves matrix multiplication with an inverse matrix. This method can be made faster if implemented using recursive solver for Toeplitz-plus-Hankel systems for computing NLS cost function.
User: surajbharadwaj
nls,Machine-readable text for historical editions of the Encyclopedia Britannica
Organization: tu-plogan
nls,Translation library based on concept of gettext .po files
Organization: vertilia
nls,Runge-Kutta adaptive-step solvers for nonlinear PDEs. Solvers include both exponential time differencing and integrating factor methods.
User: whalenpt
nls,Spectral Integration and Differentiation Algorithms. Includes FFTs, Chebyshev Transforms, and Hankel transforms. Exponential time differencing and integrating factor Runge-Kutta methods.
User: whalenpt
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