search for: fsolv

Hi all, I would like to ask that is there any function in R which can solve nonlinear system equations with several variables. Thats mean some functions similar to the 'fsolve' or 'fzero' in matlab. Thanks you Jerry _________________________________________________________________ Get 10Mb extra storage for MSN Hotmail. Subscribe Now!

...h I need to find the roots for. Is there a package and/or function which will find the roots for a quadratic system? Note that I am not opimizing, but rather solving the first order conditions which come from a Hamiltonian. I am basically looking for something in R that will do the same thing as fsolve in Matlab. Thanks, John. ============================================== Dr. John Janmaat Department of Economics Acadia University Tel: 902-585-1461

Hi, I'm having trouble converting code from MATLAB to R; I want to find the equivalence to MATLAB's function 'fsolve'. I've tried 'nlm', on the squared argument, in R but i did not get the same results. Thankful if helped. Best regards, Martin Englund ------------------------------------------------------------------------------ This e-mail and any attachment may be confidential and may also...

Hey, I was wondering if there existed a R function similar to 'fsolve' or 'fzero' Matlab functions? Thanks! Francois Aucoin [[alternative HTML version deleted]]

...fine like this: tuki <- function(u, x, a, lambda){ if((lambda%%1>0) & u<0) {u<-(u+0i)} f <- Re(x-(a*(u)^lambda-(1-(u))^lambda)/lambda) f } What I want to do is to find the root, but without specifying the interval within which to search for it. I can do it easily in MATLAB with fsolve() or fzero() functions. I compared results of running root-finding in MATLAB and R: 1) I found (by hand) a suitable interval of u-values for a=5, lambda=0.5 and ran uniroot for x from 1 to 5: ex.: uniroot(tuki, c(-1,1), x=1, a=5, lambda=0.5) The results are the same as I get in MATLAB. 2) nlm...

...My question is should i use the C - GSL routines or the Python ones in NumPy? My major concern is the portability of the code i write: really dont want users to have to install a bunch of software just to use my package. (Im looking at Windows here) Alternatively, should i just hack out the code (fsolve) and put it in my package? Thanks for the advice, Mohit Dayal Applied Statistics & Computing Lab ISB [[alternative HTML version deleted]]

...rri <- ((t1+t2)/i*log(i))-cxn rr <- rri > tol } round(rr,4) } rr1 <- rr(0.5,0.0242) ; rr1 Matlab code: function F = cxncnr(r) n = 4; % terms t1 = (1+(n-1)*r)*log((1+(n-1)*r)); t2 = (n-1)*(1-r)*log(1-r); %f = term - cxn f = (t1+t2)/(n*log(n)) - 0.05011007 F = [f]; % r0 = [0.5] ; r = fsolve(@cxncnr,r0) Thank you so much for any help given. [[alternative HTML version deleted]]