SymPy.jl on Boyoon's blog
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Hugo -- gohugo.ioSun, 16 Apr 2023 00:00:00 +0000SymPy.jl
https://boyoon-c.github.io/posts/17/
Sun, 16 Apr 2023 00:00:00 +0000https://boyoon-c.github.io/posts/17/SymPy.jl When functions are linear in parameters, we can decompose a matrix of polynomials into a matrix of coefficients and a matrix of variables. To achieve this, we can use the SymPy package.
First we need to ensure that Julia recognizes variables and treats them as symbols.
using SymPy x, y = symbols("x, y") Then we can simply invoke thecoeff() method to extract coefficients from the polynomials.
p = x + 0.