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# scipy.optimize.nonlin.BroydenFirst

All Samples(9)  |  Call(9)  |  Derive(0)  |  Import(0)

```    def test_broyden1_update(self):
# Check that BroydenFirst update works as for a dense matrix
jac = nonlin.BroydenFirst(alpha=0.1)
jac.setup(self.xs[0], self.fs[0], None)

```
```    def test_broyden1(self):
# Broyden methods solve linear systems exactly in 2*N steps
self._check(nonlin.BroydenFirst(alpha=1.0), 20, 41, False)
self._check(nonlin.BroydenFirst(alpha=1.0), 20, 41, True)

```

```    def test_broyden1_update(self):
# Check that BroydenFirst update works as for a dense matrix
jac = nonlin.BroydenFirst(alpha=0.1)
jac.setup(self.xs[0], self.fs[0], None)

```
```    def test_broyden1(self):
# Broyden methods solve linear systems exactly in 2*N steps
self._check(nonlin.BroydenFirst(alpha=1.0), 20, 41, False)
self._check(nonlin.BroydenFirst(alpha=1.0), 20, 41, True)

```

```    def test_broyden1_update(self):
# Check that BroydenFirst update works as for a dense matrix
jac = nonlin.BroydenFirst(alpha=0.1)
jac.setup(self.xs[0], self.fs[0], None)

```
```    def test_broyden1(self):
# Broyden methods solve linear systems exactly in 2*N steps
self._check(nonlin.BroydenFirst(alpha=1.0), 20, 41, False)
self._check(nonlin.BroydenFirst(alpha=1.0), 20, 41, True)

```