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 absence of other information, it is the most efficient.
it works exactly the same as it does with linear equations, you don't need to do any differentiation or anything fancy with this method, just have to plug in values of x, so it shouldn't make a difference if the equation is linear or nonlinear.
1. it is always convergent. 2. it is easy
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.
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 absence of other information, it is the most efficient.
it works exactly the same as it does with linear equations, you don't need to do any differentiation or anything fancy with this method, just have to plug in values of x, so it shouldn't make a difference if the equation is linear or nonlinear.
1. it is always convergent. 2. it is easy
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.
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).
Please see the link for a code with an explanation.
when to use problem solving method
when to use problem solving method
I may be wrong, but I think the question is kind of ambiguous. Do you mean a numerical integration method, a numerical differentiation method, a pivoting method, ... specify.
E. A. Volkov has written: 'Numerical methods' -- subject(s): Numerical analysis 'Block method for solving the Laplace equation and for constructing conformal mappings' -- subject(s): Harmonic functions, Conformal mapping
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..