Posts Tagged ‘ nlm ’

Marketing optimization using the nonlinear minimization function nlm

July 28, 2011
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Guest post by Bob Agnew ([email protected]) —————- Introduction Marketing optimization consists of assigning offers to prospects in order to maximize total expected profit subject to a few general linear constraints and the requirement that a prospect receives at most one offer.  What distinguishes these problems is their sheer size.  With millions of prospects, brute force linear solvers are unsuitable. ...

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nlm [unused argument(s) (iter = 1)]

December 28, 2010
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nlm [unused argument(s) (iter = 1)]

Ashley put the following comment on Chapter 5 of Introducing Monte Carlo Methods with R”: I am reading chapter 5. I try to reproduced the result on page 128. The R codes don’t work on my laptop. When I try to run the following codes on page 128 > for (i in 1:(nlm(like,sta)$it)){ + mmu=rbind(mmu,nlm(like,sta,iter=i)$est)}

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