## Multivariate Newton’s Method (newtons_method_n)

version 2.0.1 (290 KB) by
Newton's method for finding the root of a differentiable, multivariate, vector-valued function.

Updated 20 Apr 2022

From GitHub

# newtons_method_n

Newton's method for finding the root of a differentiable, multivariate, vector-valued function.

## Syntax

x = newtons_method_n(f,J,x0)
x = newtons_method_n(f,J,x0,opts)
[x,k] = newtons_method_n(__)
[x,k,x_all] = newtons_method_n(__)

## Description

x = newtons_method_n(f,J,x0) returns the root of a multivariate, vector-valued function specified by the function handle f, where J is the Jacobian of with respect to (i.e. ) and where x0 () is an initial guess of the root.

x = newtons_method_n(f,J,x0,opts) does the same as the syntax above, but allows for the specification of optional solver parameters. opts is a structure with the following fields:

• k_max → maximum number of iterations (defaults to 200)
• return_all → returns estimates at all iteration if set to true (defaults to false)
• TOL → tolerance (defaults to )

[x,k] = newtons_method_n(__) also returns the number of iterations (k) performed of Newton's method.

[x,k,x_all] = newtons_method_n(__) does the same as the previous syntaxes, but also returns an array (x_all) storing the root estimates at each iteration. This syntax requires that opts.return_all be set to true.

## Note

• See "EXAMPLES.mlx" or the "Examples" tab on the File Exchange page for examples.

### Cite As

Tamas Kis (2022). Multivariate Newton’s Method (newtons_method_n) (https://github.com/tamaskis/newtons_method_n-MATLAB/releases/tag/v2.0.1), GitHub. Retrieved .

##### MATLAB Release Compatibility
Created with R2021b
Compatible with any release
##### Platform Compatibility
Windows macOS Linux