### Navigation

- index
- modules |
- next |
- previous |
- SciPy v0.7 Reference Guide (DRAFT) »
- Optimization and root finding (`scipy.optimize`) »

# 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.

### Navigation

- index
- modules |
- next |
- previous |
- SciPy v0.7 Reference Guide (DRAFT) »
- Optimization and root finding (`scipy.optimize`) »