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CoupledFields

Package for working with coupled Fields

Readme

CoupledFields.jl

Summary

A julia package for working with coupled fields. This is work in progress. The main function gradvecfield calculates the gradient vector or gradient matrix for each instance of the coupled fields.

For 𝒀 = g(𝑿), CoupledFields.gradvecfield([a b], X, Y, kernelpars) returns 𝑛 gradient matrices, for 𝑛 random points in 𝑿. For parameters [𝑎 𝑏]: 𝑎 is a smoothness parameter, and 𝑏 is a ridge parameter.

using CoupledFields
g(x,y,z) = x * exp(-x^2 - y^2 - z^2)
X = -2 .+ 4*rand(100, 3)
Y = g.(X[:,1], X[:,2], X[:,3])

 kernelpars = GaussianKP(X)
 ∇g = gradvecfield([0.5 -7], X, Y[:,1:1], kernelpars)

Also CoupledFields doesn’t require a closed-form function, it can be used if you have only the observed fields 𝑿 and 𝒀.

Installation

Install using the Julia package manager. From the Julia REPL, type ] to enter the Pkg REPL mode and run:

pkg> add CoupledFields

or from the Julia prompt:

julia> using Pkg; Pkg.add("CoupledFields")

Documentation

First Commit

06/13/2016

Last Touched

8 months ago

Commits

49 commits