<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
</head>
<body text="#000000" bgcolor="#FFFFFF">
<br>
<font face="Courier New">Dear all,<br>
<br>
This is a tough one, and I'm aware it may not be directly related
to Scilab, so sorry if it is off-topic. I post it anyway because
it could lead in a future to a toolbox.<br>
<br>
I'm looking for general methods for obtaining analytic models for
empirical data such as a variable which depends on two independent
variables (i.e., a double entry table). The aim isn't just to
interpolate but to find a sort of analytical law that approximates
the data. This has two steps:<br>
<br>
1) Finding an analytic function, of two independent variables with
as few parameters as possible that can likely approximate the
data.<br>
<br>
2) Optimizing the parameters for the best approximation to the
data<br>
<br>
2) Is relatively easy by least-squares or other optimization
techniques. It is 1) the difficult part.<br>
<br>
Any help as to literature or known mehods will be welcome<br>
<br>
Federico Miyara <br>
<br>
<br>
<br>
<br>
<br>
</font>
<div id="DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2"><br /> <table style="border-top: 1px solid #D3D4DE;">
<tr>
<td style="width: 55px; padding-top: 18px;"><a href="https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient" target="_blank"><img src="https://ipmcdn.avast.com/images/icons/icon-envelope-tick-round-orange-animated-no-repeat-v1.gif" alt="" width="46" height="29" style="width: 46px; height: 29px;" /></a></td>
<td style="width: 470px; padding-top: 17px; color: #41424e; font-size: 13px; font-family: Arial, Helvetica, sans-serif; line-height: 18px;">Libre de virus. <a href="https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient" target="_blank" style="color: #4453ea;">www.avast.com</a> </td>
</tr>
</table>
<a href="#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2" width="1" height="1"> </a></div></body>
</html>