Hello, I am performing Newton Raphson iteration where the parameter vector which I want to optimize is an *nx1* vector. I am running a while loop which will continue unless a stopping condition is satisfied Now, the stopping condition will have to be such that the parameter vector after two successive iterations are very close to each other,*component wise*. I have tried the* all* function, in which case the number of iterations are enormous. Is there any better way to do this? Thanking all in advance, Soham Chakraborty -- View this message in context: http://r.789695.n4.nabble.com/comparing-two-vectors-tp4651282.html Sent from the R help mailing list archive at Nabble.com.
comparing two vectors
2 messages · soham chakraborty, Berend Hasselman
On 29-11-2012, at 14:28, soham chakraborty wrote:
Hello, I am performing Newton Raphson iteration where the parameter vector which I want to optimize is an *nx1* vector.
Are you trying to solve a system of nonlinear equations? Have a look at package nleqslv. Are you max-/min-imizing a function? Look at R provided functions such as optim, nlminb and the CRAN Optimizing Task View.
I am running a while loop which will continue unless a stopping condition is satisfied Now, the stopping condition will have to be such that the parameter vector after two successive iterations are very close to each other,*component wise*. I have tried the* all* function, in which case the number of iterations are enormous. Is there any better way to do this?
How have you been using all()? Berend