NIMfzero: Newton iteration method

In NLRoot: searching for the root of equation

Description

Newton iteration method to Find the Root of Nonlinear Equation.

Usage

NIMfzero(f, f1, x0 = 0, num = 100, eps = 1e-05, eps1 = 1e-05)

Arguments

f	the objective function which we will use to solve for the root
f1	the derivative of the objective function (say f)
x0	the initial value of Newton iteration method or Newton downhill method
num	the number of sections that the interval which from Brent's method devide into. num=100 when it is default
eps	the level of precision that |x(k+1)-x(k)| should be satisfied in order to get the idear real root. eps=1e-5 when it is default
eps1	the level of precision that |f(x)| should be satisfied, where x comes from the program. when it is not satisified we will fail to get the root

Details

the root we found out is based on the x0. So it is better to choose x0 carefully

Value

the root of the function

Note

Maintainer:Zheng Sengui<[e-mail]>

Author(s)

Zheng Sengui,Lu Xufen,Hou Qiongchen,Zheng Jianhui

References

Luis Torgo (2003) Data Mining with R:learning by case studies. LIACC-FEP, University of Porto

See Also

BFfzero,NDHfzero,SMfzero

Examples

f<-function(x){x^3-x-1};f1<-function(x){3*x^2-1};
NIMfzero(f,f1,0)

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as


function (f, f1, x0 = 0, num = 100, eps = 1e-05, eps1 = 1e-05) 
{
    a = x0
    b = a - f(a)/f1(a)
    i = 0
    while ((abs(b - a) > eps) & (i < num)) {
        a = b
        b = a - f(a)/f1(a)
        i = i + 1
    }
    print(b)
    print(f(b))
    if (abs(f(b)) < eps1) {
        print("finding root is successful")
    }
    else print("finding root is fail")
  }

NLRoot documentation built on May 2, 2019, 7:31 a.m.