I am currently working on a proposal of the google summer of code, for
the solver component.  I already have some ideas, but I want to know
if there is anything else that I should do.  First I broke the problem
down into four categories and I will use a different set of algorithms
for each.  If you know of other good algorithms that I am missing I
would like to hear from you.

1 var Minimization:
Golden Section, Brent
1 var Root Solver:
Bisection, False position, and Brent-Dekker, Newton Secant and Stefferson
N var Minimization:
Conjugate Gradient, Broyden-Fletcher-Goldfarb-Shanno, Newton,
Simulated Annealing, and Simplex
N var Root Solver:
Powell's Hybrid, Newton

I also plan to have the user set the epsilon or precision, max number
of iterations, upper and lower bounds for each independent variable,
and where applicable, cells that contain the derivative or slope of
the function.  Is there anything I am missing here or do you think I
might be making this too complex?


Harry Bullen

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