Regula Falsi (False Position) Method Disadvantages
In numerical analysis, Regula Falsi method is one of the simplest and convergence guarenteed method for finding real root of non-linear equations. It is also known as False-Position method. Although it's convergence is guranteed, it has slow rate of convergence.
In this article, we are going to discuss various drawbacks of Regula Falsi method.
Disadvantages
- Slow Rate of Convergence: Although convergence of Regula Falsi method is guaranteed, it is generally slow.
- Can not find root of some equations. For example: f(x) = x2 as there are no bracketing values.
- It has linear rate of convergence.
- It fails to determine complex roots.
- It can not be applied if there are discontinuities in the guess interval.
- It can not be applied over an interval where the function takes values of the same sign.
Recommended Readings
- Regula Falsi or False Position Method Algorithm
- Regula Falsi or False Position Method Pseudocode
- Regula Falsi or False Position Method Using C
- Regula Falsi or False Position Method Using MATLAB with Output
- Regula Falsi Python Program
- False Position Method Features
- False Position Method Advantages
- False Position Method Disadvantages
- Regula Falsi or False Position Method Online Calculator