GitHub topics: orthogonal-polynomials
SciML/PolyChaos.jl
A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.
Language: Julia - Size: 4.13 MB - Last synced at: 6 days ago - Pushed at: 6 months ago - Stars: 122 - Forks: 27

antononcube/Raku-Math-Polynomial-Chebyshev
Raku package for functionalities based on Chebyshev polynomials.
Language: Raku - Size: 34.2 KB - Last synced at: 17 days ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

aothmane-control/Algebraic-differentiators
AlgDiff is a Python class implementing all necessary tools for the design, analysis, and discretization of algebraic differentiators. An interface to Matlab is also provided.
Language: Jupyter Notebook - Size: 162 MB - Last synced at: 14 days ago - Pushed at: 5 months ago - Stars: 16 - Forks: 3

jishnub/SphericalHarmonics.jl
Associated Legendre Polynomials and Spherical Harmonics in Julia
Language: Julia - Size: 401 KB - Last synced at: 25 days ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 1

jlchan/NodesAndModes.jl
Nodes and modes for high order finite element methods
Language: Julia - Size: 744 KB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 25 - Forks: 2

NiMlr/pyfunctionbases
A Python module to compute multidimensional arrays of evaluated (orthogonal) functions.
Language: Python - Size: 128 KB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 11 - Forks: 1

j-jith/orthopoly
Generate orthogonal polynomials for arbitrary probability density functions
Language: Python - Size: 146 KB - Last synced at: 12 days ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 2

mr-older/orthoapprox
Orthogonal regression polynomial approximation: no SLE, fast, high precision, no dependencies
Language: PHP - Size: 3.91 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

snatesh/OrthogonalPolys3D
Orthogonal polynomials in 3D, based on a tensor product construction of 1D orthogonal polynomials. The 1D polynomials are defined in terms of a three-term recurrence relation derived with Gram-Schmidt on standard monomials.
Language: C++ - Size: 3.19 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

fyradur/Numerical-Analysis
All my assignments to the course MM5016 at Stockholm University
Language: Python - Size: 4.98 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

minmus-9/polyfit
quad-precision orthogonal polynomial least squares
Language: Python - Size: 1.07 MB - Last synced at: 23 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
