There are 2 repositories under approximation topic.
Julia package for function approximation
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.
🚀 Fast Euclidean clustering of point clouds ✨
A correct way to determine if two floating-point numbers are approximately equal to one another in Swift
Classification of John Burkardt's many Fortran 90 codes
Fast and Accurate 3D PSF Computation for Fluorescence Microscopy
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.
Full Waveform Inversion
Track positions and orbits of over 22,000 satellites orbiting the Earth in a 3D geospatial viewer powered by Cesium.
Building blocks of spectral methods for Julia.
A C++ math library for scientific computing with a simple and elegant interface.
Generates MinMax polynomial approximations of functions. Stable implementation of the Remez Algorithm using multi-precision arithmetic. Also does C/C++ code generation!
Basis Function Expansions for Julia
Lecture notes of Professor Stéphane Mallat - Collège de France - Paris
Fast and Accurate 3D PSF Computation for Fluorescence Microscopy
A simple python module for approximating any sympy expression using the Taylor series and Chebyshev polynomials.
Optimal piecewise linear approximation package for the Julia programming language
Rust version of fastapprox: approximate versions of functions commonly used in machine learning.
A six-panel artistic rendition of Alan Turing
Arbitrary-precision decimals. Enables making math calculations with rational numbers, without precision loss.
An adaptive fast function approximator based on tree search
Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)
High performance approximate algorithms in Go (e.g. morris counter, count min, etc.)
A library of VHDL components for Neural Networks
A Python repository for finding the densest subgraph in a undirected graph
Abinitio Dynamical Vertex Approximation