Beefy Boxes and Bandwidth Generously Provided by pair Networks
"be consistent"
 
PerlMonks  

Re: (zdog) Re: (4) Estimating continuous functions

by Itatsumaki (Friar)
on Mar 30, 2004 at 09:01 UTC ( #340903=note: print w/ replies, xml ) Need Help??


in reply to (zdog) Re: (4) Estimating continuous functions
in thread Estimating continuous functions

If you know the rough form of the functional dependencies, try a multiple linear regression. You can even do that in Excel, and with only three independent variables you would only need a few parameters. Try regressing this:

F(x,y,z) = a0 + (a1 x log(x)) + (a2 x exp{a3/y}) + (a4 x exp{a5/z})

With any luck at all that will give you a reasonably good approximation while only fitting six parameters (a0..a5). YOu didn't indicate how *much* data you have, and if you need to interpolate or extrapolate, which are really important factors in selecting a method.

Other options include finding a multi-dimensional spline libraries (Matlab has one, I think) somewhere. Alternatively, Tilly's suggestion reminded me of the loess smoothers. Those work by considering a span of "nearby" data-points to estimate the local shape curve. There is a multi-dimensional implementation built into the R programming language. The major problem with loess is that memory usage is a quadratic function (O(n2)) of the number of data-points.

-Tats


Comment on Re: (zdog) Re: (4) Estimating continuous functions
Select or Download Code

Log In?
Username:
Password:

What's my password?
Create A New User
Node Status?
node history
Node Type: note [id://340903]
help
Chatterbox?
and the web crawler heard nothing...

How do I use this? | Other CB clients
Other Users?
Others drinking their drinks and smoking their pipes about the Monastery: (6)
As of 2014-08-01 00:48 GMT
Sections?
Information?
Find Nodes?
Leftovers?
    Voting Booth?

    My favorite superfluous repetitious redundant duplicative phrase is:









    Results (256 votes), past polls