The rate of convergance for the bisection method is the same as it is for every other iteration method, please see the related question for more info.
The actual specific 'rate' depends entirely on what your iteration equation is and will vary from problem to problem. As for the order of convergance for the bisection method, if I remember correctly it has linear convergence i.e. the convergence is of order 1. Anyway, please see the related question.
In the absence of other information, it is the most efficient.
1. it is always convergent. 2. it is easy
The root of f(x)=(1-0.6x)/x is 1.6666... To see how the bisection method is used please see the related question below (link).
The main disadvantage of the bisection method for finding the root of an equation is that, compared to methods like the Newton-Raphson method and the Secant method, it requires a lot of work and a lot of iterations to get an answer with very small error, whilst a quarter of the same amount of work on the N-R method would give an answer with an error just as small.In other words compared to other methods, the bisection method takes a long time to get to a decent answer and this is it's biggest disadvantage.
In the bisection method, the root convergence occurs by repeatedly dividing the interval that contains the root into smaller intervals. In each iteration, the method checks whether the midpoint of the interval is the root or if it lies on one side of the root. The method then selects the subinterval where the root lies and continues to divide it further until the desired level of accuracy is achieved. The convergence is guaranteed because the interval containing the root is halved in each iteration.
The bisection method is simpler to implement and guarantees convergence to a root if one exists within the initial interval, but it can be slower as it always halves the interval. In contrast, linear interpolation converges faster but does not guarantee convergence, and it might fail if the function is not well approximated by a linear model in the interval.
Ideally, quadratic. Please see the link.
In the absence of other information, it is the most efficient.
1. it is always convergent. 2. it is easy
The root of f(x)=(1-0.6x)/x is 1.6666... To see how the bisection method is used please see the related question below (link).
The main disadvantage of the bisection method for finding the root of an equation is that, compared to methods like the Newton-Raphson method and the Secant method, it requires a lot of work and a lot of iterations to get an answer with very small error, whilst a quarter of the same amount of work on the N-R method would give an answer with an error just as small.In other words compared to other methods, the bisection method takes a long time to get to a decent answer and this is it's biggest disadvantage.
Please see the link for a code with an explanation.
An improved root finding scheme is to combine the bisection and Newton-Raphson methods. The bisection method guarantees a root (or singularity) and is used to limit the changes in position estimated by the Newton-Raphson method when the linear assumption is poor. However, Newton-Raphson steps are taken in the nearly linear regime to speed convergence. In other words, if we know that we have a root bracketed between our two bounding points, we first consider the Newton-Raphson step. If that would predict a next point that is outside of our bracketed range, then we do a bisection step instead by choosing the midpoint of the range to be the next point. We then evaluate the function at the next point and, depending on the sign of that evaluation, replace one of the bounding points with the new point. This keeps the root bracketed, while allowing us to benefit from the speed of Newton-Raphson.
In the bisection method, the root convergence occurs by repeatedly dividing the interval that contains the root into smaller intervals. In each iteration, the method checks whether the midpoint of the interval is the root or if it lies on one side of the root. The method then selects the subinterval where the root lies and continues to divide it further until the desired level of accuracy is achieved. The convergence is guaranteed because the interval containing the root is halved in each iteration.
In bisection method an average of two independent variables is taken as next approximation to the solution while in false position method a line that passes through two points obtained by pair of dependent and independent variables is found and where it intersects abissica is takent as next approximation..
there are three variable are to find but in newton only one variable is taken at a time of a single iteration
If this is in the context of finding a root of an equation, the answer is to make some guesses. Find value x1 and x2 such that f(x1) and f(x2) have opposite signs. Then, provided that f is a continuous function over (x1, x2), the bisection method will find its root.