Project description.txt

This program works around the following math function:
----------------------------------------------> F(x) = x^2 -4x +3
It's a set of interesting and not-so-difficult excercises to
learn the principles of Lambda expressions, functional
programming and parallel processing in Java.
The idea it is NOT of my own, it was given as practice at college
therefore, some class and methods names are in spanish.

******Point A:******
Takes a list of 1000 points(Punto) generated with random x and y values,
 order them by their X value, and obtains another list with new 
points where F(x) = x^2 -4x +3 is applied on Y value.

******Point B:******
Over the same list of points, filters a new list with values
where the rest between: point.GetX() >and< F(x) = x^2 -4x +3 
is less than 10 -> Math.abs(x - (x*x - 4*x +3)) < 10.

******Point c:******
Calculates the centroid of all the points in the list.
Centroid = new Point(averageXforAllPoints, averageYforAllPoints);

******Point D:******
Filters a new list of points where the euclidian distance between
the centroid and the rest of the points is less than 10.

*In mathematics, the Euclidean distance or Euclidean metric is the
 "ordinary" straight-line distance between two points in 
Euclidean space. 

*Formula: Math.sqrt(Math.pow(x1 - x2, 2) + Math.pow(y1 - y2, 2));

******Point E:******
Calculate the density grade of the points.
Density grade = 70 - averageOfEuclidianDistancesOfPreviousExc;

******Point F:******
Same as excercise E but with parallel processing. (You can see the
effects with at least 10millions of points in the list).