This is documentation for an old release of SciPy (version 0.7.). Read this page Search for this page in the documentation of the latest stable release (version 1.15.1).

scipy.optimize.broyden1

scipy.optimize.broyden1(F, xin, iter=10, alpha=0.10000000000000001, verbose=False)

Broyden’s first method.

Updates Jacobian and computes inv(J) by a matrix inversion at every iteration. It’s very slow.

The best norm |F(x)|=0.005 achieved in ~45 iterations.