June 6th, 2015, 11:53 PM  #1 
Newbie Joined: Jun 2015 From: London Posts: 1 Thanks: 0  optimisation problem
Hi, I have the following equation: f(z)=g(z)+b*u(z) where z=(x,y) i.e. bivariate,b is a parameter, u(z) the uniform distribution and g(z) a function that represents distance. By considering for a momment b=0, min(f(z)) can give me the location of the minimum distance. However because I want to have locations that are not the same I add u(z). With b it's possible to change the influence of u(z). Very high values of b give very random positions, while if b is very small, only locations around the minimum are chosen. Furthermore, I have some reference locations zr={(x1,y1),(x2,x2),...(xn,yn)}. I'm trying to figure out the best b I could have in order to produce from f(z) locations as much close as possible to zr. Is there anything in matlab for optimisation problems or any methods I could use? Thanks 

Tags 
optimisation, problem, solvings 
Thread Tools  
Display Modes  

Similar Threads  
Thread  Thread Starter  Forum  Replies  Last Post 
Optimisation problem  Doc  Calculus  4  September 12th, 2013 02:02 AM 
Optimisation problem  Stuck Man  Calculus  1  February 25th, 2012 08:50 AM 
optimisation  rez  Economics  1  September 2nd, 2011 10:53 AM 
optimisation problem  craka  Calculus  2  September 21st, 2008 02:44 PM 
Simple optimisation problem  curve fitting  tim_james  Calculus  0  January 21st, 2008 07:23 PM 