The bisection method is a numerical technique used to find roots of a continuous function. It is a simple and robust method which iteratively reduces the interval where a root lies by dividing it in half and selecting the subinterval where the function changes sign.
The convergence order of an iterative method indicates how quickly the method approaches the solution as the iterations progress. For the bisection method, the convergence is linear. This means that the number of correct digits in the approximation grows linearly with the number of iterations.
Mathematically, the error in the bisection method is halved with each iteration. If \( I_n \) is the length of the interval after \( n \) iterations, then:
\( I_{n+1}=\frac{I_n}{2} \)
Thus, the convergence is first-order or linear, denoted by an order of convergence \( p=1 \).
Therefore, the correct answer indicating the order of convergence for the bisection method is: 1
The values of a function \( f \) obtained for different values of \( x \) are shown in the table below.
Using Simpson’s one-third rule, approximate the integral \[ \int_0^1 f(x) \, dx \quad \text{(rounded off to 2 decimal places)}. \]
The table below gives values of the function \( f(x) = \frac{1}{x} \) at 5 points of \( x \).} \[ \begin{array}{|c|c|c|c|c|c|} \hline x & 1 & 1.25 & 1.5 & 1.75 & 2 \\ \hline f(x) & 1 & 0.8 & 0.6667 & 0.57143 & 0.5 \\ \hline \end{array} \] The approximate value of \( \int_1^2 \frac{1}{x} \, dx \) using Simpson’s \( \left( \frac{1}{3} \right) \)rd rule is:
The table below gives the values of \( f(x) \) at five equidistant points of \( x \):
x | 0 | 0.5 | 1.0 | 1.5 | 2.0 |
---|---|---|---|---|---|
f(x) | 0 | 0.25 | 1.0 | 2.25 | 4.0 |
Then the approximate value of \( \int_0^2 f(x) \, dx \) by Trapezoidal Rule is: