NonlinearSolve.jl

Fast implementations of root finding algorithms in Julia that satisfy the SciML common interface.

For information on using the package, see the stable documentation. Use the in-development documentation for the version of the documentation which contains the unreleased features.

High Level Examples

using NonlinearSolve, StaticArrays

f(u,p) = u .* u .- 2
u0 = @SVector[1.0, 1.0]
probN = NonlinearProblem{false}(f, u0)
solver = solve(probN, NewtonRaphson(), tol = 1e-9)

## Bracketing Methods

f(u, p) = u .* u .- 2.0
u0 = (1.0, 2.0) # brackets
probB = NonlinearProblem(f, u0)
sol = solve(probB, Falsi())