Cephalexin 500mg Capsules
A customer recently asked how to reproduce the results of the MATLAB polyfit Cephalexin 500mg capsules, function in NMath. This is easily done using NMath in C#, keflex pulvules 500mg. Pen vk 250,
| MATLAB | NMath | |
|---|---|---|
| Standard package | CenterSpace.NMath.Analysis | |
polyfit( x, y, keflex 500 mg qid, Keflex capsules 500mg, degree ) | PolynomialLeastSquares( degree, x, penicillin v 250 mg, Amoxicillin 500 mg sinus infection, y ) | |
| Notes: polynomial coefficients are returned in the reverse order. | ||
For example, cephalexin 500 mg for dogs, Keflex 500mg dosage, here's some MATLAB code for fitting a polynomial of degree 6 to some data, and then evaluating the fitted polynomial at a point (
x = 0.25), keflex 500 mg qid. Pen vk 250 mg,
x = [0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3
1.4 1.5 1.6 1.7 1.8 1.9 2 2.1 2.2 2.3 2.4 2.5]
y = [0 0.112462916018285 0.222702589210478 0.328626759459127 0.428392355046668 0.520499877813047 0.603856090847926 0.677801193837419 0.742100964707661 0.796908212422832 0.842700792949715 0.880205069574082 0.910313978229635 0.934007944940652 0.952285119762649 0.966105146475311 0.976348383344644 0.983790458590775 0.989090501635731 0.992790429235257 0.995322265018953 0.997020533343667 0.998137153702018 0.998856823402643 0.999311486103355 0.999593047982555]
p = polyfit(x,y, keflex pulvules 500mg, Keflex 500 mg dosage, 6)
p = 0.0084 -0.0983 0.4217 -0.7435 0.1471 1.1064 0.0004
f = polyval(p, 0.25);
f = 0.2762
Here's the equivalent C# NMath code:
#using CenterSpace.NMath.Analysis
public void FitData()
{
DoubleVector x = new DoubleVector("[0 0.1 0.2 0.3 0.4 0.5
0.6 0.7 0.8 0.9 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2 2.1
2.2 2.3 2.4 2.5]");
DoubleVector y = new DoubleVector("[0 0.112462916018285 0.222702589210478 0.328626759459127 0.428392355046668 0.520499877813047 0.603856090847926 0.677801193837419 0.742100964707661 0.796908212422832 0.842700792949715 0.880205069574082 0.910313978229635 0.934007944940652 0.952285119762649 0.966105146475311 0.976348383344644 0.983790458590775 0.989090501635731 0.992790429235257 0.995322265018953 0.997020533343667 0.998137153702018 0.998856823402643 0.999311486103355 0.999593047982555]");
PolynomialLeastSquares pls = new PolynomialLeastSquares( 6, amoxicillin 500 mg sinus infection, Keflex 750 mg dosage, x, y );
Console.WriteLine( pls.Coefficients );
Console.WriteLine();
Console.WriteLine( pls.FittedPolynomial.Evaluate( 0.25 ) );
}
This creates the output, keflex capsules 500mg. Penicillin v 250 mg,
[ 0.000441173961987631 1.10644604462547 0.147104056633056
-0.743462849129717 0.421736169818002 -0.0982995753367523
0.00841937177923124 ]0.276183548385269
[caption id="attachment_1845" align="aligncenter" width="440" caption="6th degree polynomial fit using Polynomial Least Squares."]
[/caption]
Note that the order of the coefficient vector in NMath is reversed relative that returned from MATLAB's polyfit() function. In NMath, pen vk 250, Keflex 100 mg, the constant is at index 0 and the leading coefficient is at index Coefficients.Length - 1. If you wish, pen vee k 250 mg, Penicillin v 250 mg, you can use the Reverse() method on the coefficient vector to reverse the ordering.
-Ken
Notes
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Tags: MATLAB polyfit in C#, NMATH curve fitting, polyfit in C#, polynomial curve fitting, polynomial curve fitting C#, polynomial fitting MATLAB
