First, let's declare your Calculate() method like this:
int Calculate(IEnumerable<double> doubles)
Don't worry, you can still pass an array to that code. You might also need IList<double>
, but 9 times out of 10 the IEnumerable is good enough. The main thing is that this will let us use the yield
keyword to slice up your array in an efficient way:
public static IEnumerable<T> Slice(this T[,] values)
{
return Slice(values, 0, 0);
}
public static IEnumerable<T> Slice(this T[,] values, int index)
{
return Slice(values, 0, index);
}
public static IEnumerable<T> Slice(this T[,] values, int dimension, int index)
{
int length = values.GetUpperBound(dimension);
int[] point = new int[values.Rank];
point[dimension] = index;
dimension = 1 - dimension;// only works for rank == 2
for (int i = 0; i < length; i++)
{
point[dimension] = i;
yield return (T)values.GetValue(point);
}
}
It still needs some work because it only works with rank 2 arrays, but it should be fine for the example you posted.
Now you can call your calculate function like this:
Calculate(myArray.Slice(0));
Note that due to the way IEnumerable and the yield statement work the for loop in the code I posted is essentially free. It won't run until you actually iterate the items in your Calculate method, and even there runs in a "just-in-time" fashion so that the whole algorithm remains O(n).
It gets even more interesting when you share what your Calculate method is doing. You might be able to express it as a simple Aggregate + lambda expression. For example, let's say your calculate method returned the number of items > 5:
myArray.Slice(0).Count(x => x > 5);
Or say it summed all the items:
myArray.Slice().Sum();