secant

kgpy.optimization.root_finding.scalar.secant(func, root_guess=0, step_size=1, max_abs_error=1e-09, max_iterations=100)

Return type:

numpy.ndarray

Parameters:

• func (Callable[[_SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | bool | int | float | complex | str | bytes | _NestedSequence[bool | int | float | complex | str | bytes]], _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | bool | int | float | complex | str | bytes | _NestedSequence[bool | int | float | complex | str | bytes]]) –

• root_guess (_SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | bool | int | float | complex | str | bytes | _NestedSequence[bool | int | float | complex | str | bytes]) –

• step_size (float) –

• max_abs_error (float) –

• max_iterations (int) –