On 12.10.2011 20:13, forget_f1 wrote:
Hi,
I hope someone can help me with the following issue.
I need find the minimum beta that satisfies the following:
inf{beta>0 | f(x+beta*f(x))*f(x)<=0}
where f() is a function and x is a sample statistic.
Functions such as "nlminb" and "constrOptim" minimize a function and output
the parameter (under parameter constraints). I need to minimize the
parameter (also constraint) under the functional constraint.
Obviously, I can start with a vector for beta (starting from 0) and find
when the switch from>0 to<=0 occurs for the functional argument, but was
wondering if there is a more efficient method/function.
If monotonicity in beta is given , why not minimize
(f(x+beta*f(x))*f(x))^2 for beta with the box constrained that beta > 0?
Uwe Ligges
Thanks!!!
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