The Newton-Raphson method is an iterative method for finding the roots of a real-valued function \(f(x)=0\). The iterative formula is: \[ x_{n+1} = x_n - \frac{f(x_n)}{f'(x_n)} \] The order of convergence of an iterative method describes how quickly the sequence of approximations \(x_n\) converges to the true root \(\alpha\).
If \(e_n = x_n - \alpha\) is the error at the nth iteration, then for a method with order of convergence \(p\), we have \(|e_{n+1}| \approx C|e_n|^p\) for some constant \(C \neq 0\), as \(n \to \infty\). For the Newton-Raphson method, under certain conditions (such as the root being simple and \(f'(x)\) being non-zero near the root, and \(f''(x)\) being continuous), the order of convergence is \(p=2\).
This is known as quadratic convergence.
This means that the number of correct decimal places roughly doubles with each iteration, once the approximation is close enough to the root.
Linear convergence: \(p=1\). Cubic convergence: \(p=3\).
Biquadratic convergence: \(p=4\). \[ \boxed{\text{quadratic}} \]
When the enable data input \( D = 1 \), select inputs \( S_1 = S_0 = 0 \) in the 1×4 Demultiplexer, then the outputs \( Y_0, Y_1, Y_2, Y_3 \) are
The \( Z \) parameter \( Z_{21} \) of the following circuit is
The \( h \) parameters of the following circuit is
For an input voltage \( v = 10 \sin 1000t \), the Thevenin's impedance at the terminals X and Y for the following circuit is