1. The method is a generalization of the secant method . 2. The secant method can be thought of as a finite difference approximation of Newton's method. 3. This can be compared with 1.62 for the secant method and 2 for Newton's method. 4. Hi, i am having problems understanding the differences between the secant method and the method of false position. 5. The methods given below for optimization refer to an important subclass of quasi-Newton methods, secant methods . 6. For " k " = 1 these two methods are identical : it is the secant method . 7. The false position method ( or " regula falsi " ) uses the same formula as the secant method . 8. Quasi-Newton methods are generalizations of the secant method to find the root of the first derivative for multidimensional problems. 9. If the initial values are not close enough to the root, then there is no guarantee that the secant method converges. 10. Furthermore, Brent's method uses inverse quadratic interpolation instead of linear interpolation ( as used by the secant method ).
