This seems useful, but it is important to note that the approach may not
work well
unless the system of nonlinear equations is very well behaved and a good
starting
point is chosen. A good explanation of the problems with this exact
approach, that
is adding up the sums of squares of the
Hi,
I have written a simple function to solve a system of nonlinear equations. I
have called it nlsolve(). It actually minimizes the squared-norm of the set
of functions by calling optim(). It uses the BFGS algorithm within optim().
Apart from this restriction, the user can pass all the
Hi All,
Replying to this and numerous other requests in the past has made me realize
that a nonlinear solver is very much needed for R users. I have
successfully used a nonlinear solver based on the spectral gradient method,
in FORTRAN. I can readily translate that to R and make it available as
