Julia package for function approximation
-
Updated
Nov 8, 2024 - Julia
Julia package for function approximation
Cubic spline approximation (smoothing)
Fast radial basis function interpolation for large scale data
Approximate floating point equality comparisons and assertions
SparklingGraph provides easy to use set of features that will give you ability to proces large scala graphs using Spark and GraphX.
A web app that generates code for efficiently approximating mathematical functions of one variable.
A correct way to determine if two floating-point numbers are approximately equal to one another in Swift
🚀 Fast Euclidean clustering of point clouds ✨
Classification of John Burkardt's many Fortran 90 codes
Fast and Accurate 3D PSF Computation for Fluorescence Microscopy
Eigen based C++11 implementation of cubic spline approximation (smoothing)
B-Spline, Bezier, and Linear/Non-Linear fitting (Approximation and Interpolation) algorithms are implemented in Javascript.
Converts numbers into a more human-friendly format. E.g. 123456 becomes 123k. Similar to `ls -lh` or Stack Overflow's reputation numbers.
Fast, approximate versions of mathematical functions
Track positions and orbits of over 22,000 satellites orbiting the Earth in a 3D geospatial viewer powered by Cesium.
Fast and Accurate 3D PSF Computation for Fluorescence Microscopy
Building blocks of spectral methods for Julia.
Generates MinMax polynomial approximations of functions. Stable implementation of the Remez Algorithm using multi-precision arithmetic. Also does C/C++ code generation!
Add a description, image, and links to the approximation topic page so that developers can more easily learn about it.
To associate your repository with the approximation topic, visit your repo's landing page and select "manage topics."