Secant Method

Objectives

secant method algorithm
strength and weaknesses of the method
interpretation of relative error

Vocabulary

Super-linear rate of convergence

Concepts

Approximation of derivative by difference quotient
Secant method including stopping criteria
Method properties:

Method properties:

Strength

Weaknesses

Method requires evaluation of function but not derivative at each iteration

Method needs two starting guesses

Local, super-linear rate of convergence when approximation is close to root

Convergence rate is not guaranteed when approximation is not close to the root

Error estimate available under reasonable assumptions

Method may converge very slowly or not at all

Easier to implement than Newton's method

Convergence rate is not as fast as that of Newton's method

Two step secant method is competitive with one Newton's iteration

Stopping criteria choice not obvious

May be used to find complex roots

Requires initial guess to be complex in order to find a complex root

Method may be extended to higher dimension

Requires to solve a different large system of linear equation at each iteration

 

Correction to Misconceptions