Julia package for function approximation
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Updated
Jul 1, 2024 - Julia
Julia package for function approximation
SparklingGraph provides easy to use set of features that will give you ability to proces large scala graphs using Spark and GraphX.
Approximate floating point equality comparisons and assertions
Cubic spline approximation (smoothing)
Fast radial basis function interpolation for large scale data
Eigen based C++11 implementation of cubic spline approximation (smoothing)
Fast and Accurate 3D PSF Computation for Fluorescence Microscopy
A Python repository for finding the densest subgraph in a undirected graph
Classification of John Burkardt's many Fortran 90 codes
Basis Function Expansions for Julia
Fast and Accurate 3D PSF Computation for Fluorescence Microscopy
Fast, approximate versions of mathematical functions
Converts numbers into a more human-friendly format. E.g. 123456 becomes 123k. Similar to `ls -lh` or Stack Overflow's reputation numbers.
Track positions and orbits of over 22,000 satellites orbiting the Earth in a 3D geospatial viewer powered by Cesium.
B-Spline, Bezier, and Linear/Non-Linear fitting (Approximation and Interpolation) algorithms are implemented in Javascript.
Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)
Matlab implementation of Frequent Directions variants for matrix sketching
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