Difference between revisions of "FitExp Command"

Latest revision as of 23:26, 21 November 2023

FitExp( <List of Points> ): Calculates the exponential regression curve in the form aℯ^bx.; Example: FitExp({(0, 1), (2, 3), (4, 3), (6, 4)}) yields 1.31ℯ^0.21x.

Note:

If you want the answer in the form a b ^ x then use the FitGrowth Command.
You can do a direct least-squares fitting with Fit(list, a*exp(b*x))
Euler's number ℯ can be obtained by pressing ALT + e.
See also Fit, FitGrowth, FitLine, FitLineX, FitLog, FitLogistic, FitPoly, FitPow and FitSin.

@@ Line 2: / Line 2: @@
 ;FitExp( &lt;List of Points> )
 :Calculates the exponential regression curve in the form ''aℯ<sup>bx</sup>''.
-:{{example| 1=<code><nowiki>FitExp({(0, 1), (2, 4)})</nowiki></code> yields ''ℯ<sup>0.69x</sup>''.}}
+:{{example| 1=<code><nowiki>FitExp({(0, 1), (2, 3), (4, 3), (6, 4)})</nowiki></code> yields ''1.31ℯ<sup>0.21x</sup>''.}}
 {{note| 1=<div>
 *If you want the answer in the form <math> a b ^ x </math> then use the  [[FitGrowth Command]].
+* You can do a direct least-squares fitting with <code>Fit(list, a*exp(b*x))</code>
 *Euler's number ℯ can be obtained by pressing {{KeyCode|ALT + e}}.
 *See also [[Fit Command|Fit]], [[FitGrowth Command|FitGrowth]], [[FitLine Command|FitLine]], [[FitLineX Command|FitLineX]], [[FitLog Command|FitLog]], [[FitLogistic Command|FitLogistic]], [[FitPoly Command|FitPoly]], [[FitPow Command|FitPow]] and [[FitSin Command|FitSin]].
-* If you work with big/small numbers, you should consider normalizing them for a more accurate result, see  [[Normalize Command]].
 </div>}}