From: aminer68@gmail.com   
      
   Hello,   
      
      
      
   More of my philosophy about non-linear regression and more..   
      
   I am a white arab from Morocco, and i think i am smart since i have also   
   invented many scalable algorithms and algorithms..   
      
      
   I think i am really smart, and i have just finished quickly the software   
   implementation of Levenberg–Marquardt algorithm and of the simplex algorithm   
   to solve non-linear least squares problems, but i have also    
   implemented the PSO and genetic algorithm that permit to solve non-linear   
   least squares problems, and i will soon implement a generalized way with   
   artificial intelligence using the software that permit to solve the non-linear   
   "multiple" regression, but i    
   have also noticed that in mathematics you have to take care of the variability   
   of the y in non-linear least squares problems so that to approximate, also the   
   Levenberg–Marquardt algorithm (LMA or just LM) that i have just implemented   
   , also known as    
   the damped least-squares (DLS) method, is used to solve non-linear least   
   squares problems. These minimization problems arise especially in least   
   squares curve fitting. The Levenberg–Marquardt algorithm is used in many   
   software applications for solving    
   generic curve-fitting problems. The Levenberg–Marquardt algorithm was found   
   to be an efficient, fast and robust method which also has a good global   
   convergence property. For these reasons, It has been incorporated into many   
   good commercial packages    
   performing non-linear regression. But my way of implementing the non-linear   
   "multiple" regression in the software will be much more powerful than   
   Levenberg–Marquardt algorithm, and of course i will share with you many   
   parts of my software project,   
   so stay tuned !   
      
      
   Thank you,   
   Amine Moulay Ramdane.   
      
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