To eliminate the use of the Jacobian matrix in the Newton method in MATLAB, one can use the built-in optimization function `fsolve`

. `fsolve`

allows you to find the roots of a system of nonlinear equations without explicitly calculating the Jacobian matrix.

Here is an example of how to use `fsolve`

to solve a system of nonlinear equations:

main.m184 chars13 lines

In this example, we define a function `f`

that takes a vector `x`

and returns a vector of values that must be equal to zero in order to find a root. We set an initial guess `x0`

for the root and use `fsolve`

to solve for it. Finally, we display the result.

Note that `fsolve`

uses an iterative method similar to the Newton method, but it does not require the user to explicitly calculate the Jacobian matrix.

newton method in matlab

newton method with jacobian in matlab

transform ik to a newton method problem in matlab

how to implement newtons method in matlab

how to calculate the normal distribution in matlab

how to perform a ztest in matlab

how to calculate the 99th percentile in matlab

how to calculate the binomial distribution in matlab

how to calculate cumulative distribution function in matlab

how to plot the binomial distribution in matlab

gistlibby LogSnag