Show HN: Advanced Mathematics Library for Node.js and JavaScript(github.com)

    eigenvalues = require 'eigenvalues.js'

    regressCoordinatesToNormal = (coords) ->
        min = (array) ->
                array.reduce ((x, y, i) -> if x.val < y then x else {index: i, val: y}), {index: null, val: Infinity}

        centerOfMass = (coords) ->
                coords.reduce ((x, y) -> (x[i] + (y[i] / coords.length) for v, i in y)), [0, 0, 0]

        normalUnitVector = (coords) ->
                c = centerOfMass coords
                matrix = for row in [0..2]
                        for col in [0..2]
                                ((coord[row] - c[row]) * (coord[col] - c[col]) for coord in coords).reduce (x, y) -> x + y
                results = eigenvalues.calculateEigenvalues matrix
                results.eigenvectors[min(results.real).index]

        normalUnitVector coords

    normals = (regressCoordinatesToNormal coords for coords in planes)
    planeToPlaneVector = distanceVector planeCenterOfMass[0], planeCenterOfMass[1]
    projectionDistance = dotProduct planeToPlaneVector, normals[0]

  $ erl
  1> 0.2 + 0.1.
  0.30000000000000004
  2> 0.94 - 0.01.
  0.9299999999999999
  3> 0.3 + 0.544.
  0.8440000000000001

  $ irb
  1.9.2-p290 :001 > 0.2 + 0.1
   => 0.30000000000000004 
  1.9.2-p290 :002 > 0.94 - 0.01
   => 0.9299999999999999 
  1.9.2-p290 :003 > 0.3 + 0.544
   => 0.8440000000000001 
  1.9.2-p290 :004 >