Mathematical function differentiation with C#?

Question

I see that I can declare a function with (say)

public double Function(double parameter)

but what if I do want to take the derivative of tha

Answer 1

Are you thinking of Lambda Expressions?

Basically you can pass a function into a function.

So think of a Sort on an object. Depending on the nature of the object would help determine how the objects are sorted.

But you can still create a generic sort function then pass in how to compare objects.

Answer 2

If you have written the function, it's already been derived.

And given that it's an int function, I'll assume you don't mean the calculus definition of "derive".

Answer 3

If you're thinking of symbolic manipulation of formulae then you're better off doing your derivations in languages like Maple or Mathematica. They're designed for symbolic computation.

EDIT: If Maple and Mathematica are too expensive for you then there are other options. Wikipedia has a fairly complete listing of computer algebra packages. http://en.wikipedia.org/wiki/Comparison_of_computer_algebra_systems

Answer 4

Another approach can be to leverage the extensions methods using the well-known definition of the derivative number and compute its approximation accordingly.

As it has already been mentioned, this is pretty easy for a numeric approach not a symbolic one:

public partial static class IEnumerableExtensions
{
    public static IEnumerable<Double> Derivate1<TSource>(this IEnumerable<TSource> source, Func<TSource, Double> selectorX, Func<TSource, Double> selectorY)
    {
        var enumerator = source.GetEnumerator();

        enumerator.Reset();
        enumerator.MoveNext();

        var itemPrevious = enumerator.Current;
        var itemNext = default(TSource);

        while (enumerator.MoveNext())
        {
            itemNext = enumerator.Current;

            var itemPreviousX = selectorX(itemPrevious);
            var itemPreviousY = selectorY(itemPrevious);

            var itemNextX = selectorX(itemNext);
            var itemNextY = selectorY(itemNext);

            var derivative = (itemNextY - itemPreviousY) / (itemNextX - itemPreviousX);

            yield return derivative;

            itemPrevious = itemNext;
        }
    }
}

or if you are more into a foreach fashion

public partial static class IEnumerableExtensions
{
     public static IEnumerable<Double> Derivate2<TSource>(IEnumerable<TSource> source, Func<TSource, Double> selectorX, Func<TSource, Double> selectorY)
     {
         var itemPrevious = source.First();

         source = source.Skip(1);

         foreach (var itemNext in source)
         {
             var itemPreviousX = selectorX(itemPrevious);
             var itemPreviousY = selectorY(itemPrevious);

             var itemNextX = selectorX(itemNext);
             var itemNextY = selectorY(itemNext);

             var derivative = (itemNextY - itemPreviousY) / (itemNextX - itemPreviousX);

             yield return derivative;

             itemPrevious = itemNext;
        }
    }
}

You can refactor everything as below:

public static partial class MathHelpers
{
    public static Double Derivate(Double xPrevious, Double xNext, Double yPrevious, Double yNext)
    {
        var derivative = (yNext - yPrevious)/(xNext - xPrevious);

        return derivative;
    }
}

public static class IEnumerableExtensions
{
     public static IEnumerable<Double> Derivate<TSource>(IEnumerable<TSource> source, Func<TSource, Double> selectorX, Func<TSource, Double> selectorY)
     {
         var itemPrevious = source.First();

         source = source.Skip(1);

         foreach (var itemNext in source)
         {
             var derivative = MathHelpers.Derivate(selectorX(itemPrevious), selectorX(itemNext), selectorY(itemPrevious), selectorY(itemNext));

             yield return derivative;

             itemPrevious = itemNext;
        }
    }
}

Answer 5

You can't calculate the exact derivative of a function using a computer program (unless you're doing symbolic math... but that's another, way more complicated, topic).

There are several approaches to computing a numerical derivative of a function. The simplest is the centered three-point method:

• Take a small number h
• Evaluate [f(x+h) - f(x-h)] / 2h
• Voilà, an approximation of f'(x), with only two function evaluations

Another approach is the centered five-point method:

• Take a small number h
• Evaluate [f(x-2h) - 8f(x-h) + 8f(x+h) - f(x+2h)] / 12h
• Voilà, a better approximation of f'(x), but it requires more function evaluations

---

Another topic is how to implement this using C#. First, you need a delegate that represents a function that maps a subset of the real numbers onto a another subset of the real numbers:

delegate double RealFunction(double arg);

Then, you need a routing that evaluates the derivative:

public double h = 10e-6; // I'm not sure if this is valid C#, I'm used to C++

static double Derivative(RealFunction f, double arg)
{
    double h2 = h*2;
    return (f(x-h2) - 8*f(x-h) + 8*f(x+h) - f(x+h2)) / (h2*6);
}

If you want an object-oriented implementation, you should create the following classes:

interface IFunction
{
    // Since operator () can't be overloaded, we'll use this trick.
    double this[double arg] { get; }
}

class Function : IFunction
{
    RealFunction func;

    public Function(RealFunction func)
    { this.func = func; }

    public double this[double arg]
    { get { return func(arg); } }
}

class Derivative : IFunction
{
    IFunction func;
    public static double h = 10e-6;

    public Derivative(IFunction func)
    { this.func = func; }

    public double this[double arg]
    {
        get
        {
            double h2 = h*2;
            return (
                func[arg - h2] - func[arg + h2] +
                ( func[arg + h]  - func[arg - h] ) * 8
                ) / (h2 * 6);
        }
    }
}