Skip to main content

Theory and Modern Applications

Table 4 Comparison of optimal 3rd order methods

From: On iterative techniques for estimating all roots of nonlinear equation and its system with application in differential equation

Method

n

CPU

ρ

\(\Vert \mathbf{x}^{(k+1)}-\mathbf{x}^{(k)} \Vert \)

\(\Vert \mathbf{Fx}^{(k)} \Vert \)

Solving a system of nonlinear equations \(\mathbf{F}_{1}(\mathbf{X}) \) and \(\mathbf{F}_{2}(\mathbf{X})\)

\(\mathbf{F}_{1}(\mathbf{X})\); \((\mathbf{1.5},\mathbf{1.5})^{T}\); \(\mathbf{X}_{0}=(\mathbf{0.6},\mathbf{1.4})^{T}\), \(\alpha =\frac{-1}{100{,}000}\)

QQ1

3

0.012

3.0

7.9e−17

9.7e−17

EE1

3

0.031

2.9

3.8e−9

1.4e−9

EE2

3

0.015

3.0

5.9e−17

2.3e−16

EE3

3

0.562

3.0

2.1e−15

2.1e−15

\(\mathbf{F}_{2}(\mathbf{X})\); \(\mathbf{X}_{0}=(\mathbf{1.5},\mathbf{1.0})^{T}\), \(\alpha =\frac{-1}{100{,}000}\)

QQ1

4

0.017

3.1

1.2e−21

0.1e−21

EE1

4

0.016

2.9

8.3e−17

1.1e−18

EE2

4

0.016

3.0

1.8e−16

1.0e−17

EE3

4

0.016

3.0

5.3e−17

5.3e−17