Optimizing a function with a list as a parameter
- To: mathgroup at smc.vnet.net
- Subject: [mg103081] Optimizing a function with a list as a parameter
- From: Mike Miller <michael.g.miller at gmail.com>
- Date: Mon, 7 Sep 2009 02:36:10 -0400 (EDT)
I have a time-series like function which gives an output based on a list of real numbers(i.e. you can run the function on a list of 1,2,3,... real numbers). The issue I'm encountering is how to maximize the function for a given list length(subject to a set of constraints). I could fix the function to a fixed number of real numbers(i.e. f [x_Real, y_Real] instead of f[x_List]) and treat x and y as the first two elements of the list, and call Maximize on the function, but this is not really elegant. I want to be able to easily change the number of elements in the list. What is the best way to optimize a function like I described, which takes a list as an argument, for a fixed list length? Thanks, Mike
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