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Re: Optimization in GSL


On Thu, Oct 31, 2002 at 08:50:15PM +0100, Lukasz Grabun wrote:

> f(x) = \sum_{s,i} (x_{s,i}^2 - a_{s,i})^2 subject to constraints

  Ouch, my wrong. 
  f(x) = \sum_p [ \sum_{s,i} x_{s,i} * a_{s,p,i} ]^2

  a_{} = a constant number, generally a_{} = +/- 1 (yes, it does
originate from Ising problem).
  
  Constraints does not change. Sorry for misleading anyone.  

-- 
Lukasz Grabun


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