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Find intersection coordinates of two circles on earth?

I'm trying to find a second intersection point of two circles. One of the points that I already know was used to calculate a distance and then used as the circle radius (exemple). The problem is that im not getting the know point, im getting two new coordinates, even thou they are similar. The problem is probably related to the earth curvature but I have searched for some solution and found nothing.
The circles radius are calculated with the earth curvature. And this is the code I have:
function GET_coordinates_of_circles(position1,r1, position2,r2) {
var deg2rad = function (deg) { return deg * (Math.PI / 180); };
x1=position1.lng;
y1=position1.lat;
x2=position2.lng;
y2=position2.lat;
var centerdx = deg2rad(x1 - x2);
var centerdy = deg2rad(y1 - y2);
var R = Math.sqrt(centerdx * centerdx + centerdy * centerdy);
if (!(Math.abs(r1 - r2) <= R && R <= r1 + r2)) { // no intersection
console.log("nope");
return []; // empty list of results
}
// intersection(s) should exist
var R2 = R*R;
var R4 = R2*R2;
var a = (r1*r1 - r2*r2) / (2 * R2);
var r2r2 = (r1*r1 - r2*r2);
var c = Math.sqrt(2 * (r1*r1 + r2*r2) / R2 - (r2r2 * r2r2) / R4 - 1);
var fx = (x1+x2) / 2 + a * (x2 - x1);
var gx = c * (y2 - y1) / 2;
var ix1 = fx + gx;
var ix2 = fx - gx;
var fy = (y1+y2) / 2 + a * (y2 - y1);
var gy = c * (x1 - x2) / 2;
var iy1 = fy + gy;
var iy2 = fy - gy;
// note if gy == 0 and gx == 0 then the circles are tangent and there is only one solution
// but that one solution will just be duplicated as the code is currently written
return [[iy1, ix1], [iy2, ix2]];
}
The deg2rad variable it is suppose to adjust the other calculations with the earth curvature.
Thank you for any help.

Your calculations for R and so on are wrong because plane Pythagorean formula does not work for spherical trigonometry (for example - we can have triangle with all three right angles on the sphere!). Instead we should use special formulas. Some of them are taken from this page.
At first find big circle arcs in radians for both radii using R = Earth radius = 6,371km
a1 = r1 / R
a2 = r2 / R
And distance (again arc in radians) between circle center using haversine formula
var R = 6371e3; // metres
var φ1 = lat1.toRadians();
var φ2 = lat2.toRadians();
var Δφ = (lat2-lat1).toRadians();
var Δλ = (lon2-lon1).toRadians();
var a = Math.sin(Δφ/2) * Math.sin(Δφ/2) +
Math.cos(φ1) * Math.cos(φ2) *
Math.sin(Δλ/2) * Math.sin(Δλ/2);
var ad = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1-a));
And bearing from position1 to position 2:
//where φ1,λ1 is the start point, φ2,λ2 the end point
//(Δλ is the difference in longitude)
var y = Math.sin(λ2-λ1) * Math.cos(φ2);
var x = Math.cos(φ1)*Math.sin(φ2) -
Math.sin(φ1)*Math.cos(φ2)*Math.cos(λ2-λ1);
var brng = Math.atan2(y, x);
Now look at the picture from my answer considering equal radii case.
(Here circle radii might be distinct and we should use another approach to find needed arcs)
We have spherical right-angle triangles ACB and FCB (similar to plane case BD is perpendicular to AF in point C and BCA angle is right).
Spherical Pythagorean theorem (from the book on sph. trig) says that
cos(AB) = cos(BC) * cos(AC)
cos(FB) = cos(BC) * cos(FC)
or (using x for AC, y for BC and (ad-x) for FC)
cos(a1) = cos(y) * cos(x)
cos(a2) = cos(y) * cos(ad-x)
divide equations to eliminate cos(y)
cos(a1)*cos(ad-x) = cos(a2) * cos(x)
cos(a1)*(cos(ad)*cos(x) + sin(ad)*sin(x)) = cos(a2) * cos(x)
cos(ad)*cos(x) + sin(ad)*sin(x) = cos(a2) * cos(x) / cos(a1)
sin(ad)*sin(x) = cos(a2) * cos(x) / cos(a1) - cos(ad)*cos(x)
sin(ad)*sin(x) = cos(x) * (cos(a2) / cos(a1) - cos(ad))
TAC = tg(x) = (cos(a2) / cos(a1) - cos(ad)) / sin(ad)
Having hypotenuse and cathetus of ACB triangle we can find angle between AC and AB directions (Napier's rules for right spherical triangles) - note we already know TAC = tg(AC) and a1 = AB
cos(CAB)= tg(AC) * ctg(AB)
CAB = Math.acos(TAC * ctg(a1))
Now we can calculate intersection points - they lie at arc distance a1 from position1 along bearings brng-CAB and brng+CAB
B_bearing = brng - CAB
D_bearing = brng + CAB
Intersection points' coordinates:
var latB = Math.asin( Math.sin(lat1)*Math.cos(a1) +
Math.cos(lat1)*Math.sin(a1)*Math.cos(B_bearing) );
var lonB = lon1.toRad() + Math.atan2(Math.sin(B_bearing)*Math.sin(a1)*Math.cos(lat1),
Math.cos(a1)-Math.sin(lat1)*Math.sin(lat2));
and the same for D_bearing
latB, lonB are in radians

I had a similar need ( Intersection coordinates (lat/lon) of two circles (given the coordinates of the center and the radius) on earth ) and hereby I share the solution in python in case it might help someone:
'''
FINDING THE INTERSECTION COORDINATES (LAT/LON) OF TWO CIRCLES (GIVEN THE COORDINATES OF THE CENTER AND THE RADII)
Many thanks to Ture Pålsson who directed me to the right source, the code below is based on whuber's brilliant work here:
https://gis.stackexchange.com/questions/48937/calculating-intersection-of-two-circles
The idea is that;
1. The points in question are the mutual intersections of three spheres: a sphere centered beneath location x1 (on the
earth's surface) of a given radius, a sphere centered beneath location x2 (on the earth's surface) of a given radius, and
the earth itself, which is a sphere centered at O = (0,0,0) of a given radius.
2. The intersection of each of the first two spheres with the earth's surface is a circle, which defines two planes.
The mutual intersections of all three spheres therefore lies on the intersection of those two planes: a line.
Consequently, the problem is reduced to intersecting a line with a sphere.
Note that "Decimal" is used to have higher precision which is important if the distance between two points are a few
meters.
'''
from decimal import Decimal
from math import cos, sin, sqrt
import math
import numpy as np
def intersection(p1, r1_meter, p2, r2_meter):
# p1 = Coordinates of Point 1: latitude, longitude. This serves as the center of circle 1. Ex: (36.110174, -90.953524)
# r1_meter = Radius of circle 1 in meters
# p2 = Coordinates of Point 2: latitude, longitude. This serves as the center of circle 1. Ex: (36.110174, -90.953524)
# r2_meter = Radius of circle 2 in meters
'''
1. Convert (lat, lon) to (x,y,z) geocentric coordinates.
As usual, because we may choose units of measurement in which the earth has a unit radius
'''
x_p1 = Decimal(cos(math.radians(p1[1]))*cos(math.radians(p1[0]))) # x = cos(lon)*cos(lat)
y_p1 = Decimal(sin(math.radians(p1[1]))*cos(math.radians(p1[0]))) # y = sin(lon)*cos(lat)
z_p1 = Decimal(sin(math.radians(p1[0]))) # z = sin(lat)
x1 = (x_p1, y_p1, z_p1)
x_p2 = Decimal(cos(math.radians(p2[1]))*cos(math.radians(p2[0]))) # x = cos(lon)*cos(lat)
y_p2 = Decimal(sin(math.radians(p2[1]))*cos(math.radians(p2[0]))) # y = sin(lon)*cos(lat)
z_p2 = Decimal(sin(math.radians(p2[0]))) # z = sin(lat)
x2 = (x_p2, y_p2, z_p2)
'''
2. Convert the radii r1 and r2 (which are measured along the sphere) to angles along the sphere.
By definition, one nautical mile (NM) is 1/60 degree of arc (which is pi/180 * 1/60 = 0.0002908888 radians).
'''
r1 = Decimal(math.radians((r1_meter/1852) / 60)) # r1_meter/1852 converts meter to Nautical mile.
r2 = Decimal(math.radians((r2_meter/1852) / 60))
'''
3. The geodesic circle of radius r1 around x1 is the intersection of the earth's surface with an Euclidean sphere
of radius sin(r1) centered at cos(r1)*x1.
4. The plane determined by the intersection of the sphere of radius sin(r1) around cos(r1)*x1 and the earth's surface
is perpendicular to x1 and passes through the point cos(r1)x1, whence its equation is x.x1 = cos(r1)
(the "." represents the usual dot product); likewise for the other plane. There will be a unique point x0 on the
intersection of those two planes that is a linear combination of x1 and x2. Writing x0 = ax1 + b*x2 the two planar
equations are;
cos(r1) = x.x1 = (a*x1 + b*x2).x1 = a + b*(x2.x1)
cos(r2) = x.x2 = (a*x1 + b*x2).x2 = a*(x1.x2) + b
Using the fact that x2.x1 = x1.x2, which I shall write as q, the solution (if it exists) is given by
a = (cos(r1) - cos(r2)*q) / (1 - q^2),
b = (cos(r2) - cos(r1)*q) / (1 - q^2).
'''
q = Decimal(np.dot(x1, x2))
if q**2 != 1 :
a = (Decimal(cos(r1)) - Decimal(cos(r2))*q) / (1 - q**2)
b = (Decimal(cos(r2)) - Decimal(cos(r1))*q) / (1 - q**2)
'''
5. Now all other points on the line of intersection of the two planes differ from x0 by some multiple of a vector
n which is mutually perpendicular to both planes. The cross product n = x1~Cross~x2 does the job provided n is
nonzero: once again, this means that x1 and x2 are neither coincident nor diametrically opposite. (We need to
take care to compute the cross product with high precision, because it involves subtractions with a lot of
cancellation when x1 and x2 are close to each other.)
'''
n = np.cross(x1, x2)
'''
6. Therefore, we seek up to two points of the form x0 + t*n which lie on the earth's surface: that is, their length
equals 1. Equivalently, their squared length is 1:
1 = squared length = (x0 + t*n).(x0 + t*n) = x0.x0 + 2t*x0.n + t^2*n.n = x0.x0 + t^2*n.n
'''
x0_1 = [a*f for f in x1]
x0_2 = [b*f for f in x2]
x0 = [sum(f) for f in zip(x0_1, x0_2)]
'''
The term with x0.n disappears because x0 (being a linear combination of x1 and x2) is perpendicular to n.
The two solutions easily are t = sqrt((1 - x0.x0)/n.n) and its negative. Once again high precision
is called for, because when x1 and x2 are close, x0.x0 is very close to 1, leading to some loss of
floating point precision.
'''
if (np.dot(x0, x0) <= 1) & (np.dot(n,n) != 0): # This is to secure that (1 - np.dot(x0, x0)) / np.dot(n,n) > 0
t = Decimal(sqrt((1 - np.dot(x0, x0)) / np.dot(n,n)))
t1 = t
t2 = -t
i1 = x0 + t1*n
i2 = x0 + t2*n
'''
7. Finally, we may convert these solutions back to (lat, lon) by converting geocentric (x,y,z) to geographic
coordinates. For the longitude, use the generalized arctangent returning values in the range -180 to 180
degrees (in computing applications, this function takes both x and y as arguments rather than just the
ratio y/x; it is sometimes called "ATan2").
'''
i1_lat = math.degrees( math.asin(i1[2]))
i1_lon = math.degrees( math.atan2(i1[1], i1[0] ) )
ip1 = (i1_lat, i1_lon)
i2_lat = math.degrees( math.asin(i2[2]))
i2_lon = math.degrees( math.atan2(i2[1], i2[0] ) )
ip2 = (i2_lat, i2_lon)
return [ip1, ip2]
elif (np.dot(n,n) == 0):
return("The centers of the circles can be neither the same point nor antipodal points.")
else:
return("The circles do not intersect")
else:
return("The centers of the circles can be neither the same point nor antipodal points.")
'''
Example: The output of below is [(36.989311051533505, -88.15142628069133), (38.2383796094578, -92.39048549120287)]
intersection_points = intersection((37.673442, -90.234036), 107.5*1852, (36.109997, -90.953669), 145*1852)
print(intersection_points)
'''
Any feedback is appreciated.

Finding a location on cosine curve with a specified distance to another location JS

I am working on a "rally" game where a car is drawing on hills made of cosine curves. I know the current xspeed of the car (without hills) but the problem is that I need to know the xspeed of the car on the hills to be able to draw the wheels on right places and keep the speed steady.
At the moment my solution looks like this.
function drawWheelOnBasicHill(hillStart, xLocWheel, wheelNro) {
var cw = 400 //the width of the hill
t_max = 2*Math.PI;
var scale = 80, step = cw, inc = t_max/step;
var t1 = (xLocWheel-hillStart)*inc
var y1 = -scale*0.5 * Math.cos(t1);
if(wheelNro == 1 ){ //backwheel
drawRotatedImage(wheel, car.wheel1x, car.wheel1y-y1-45,sx);
//drawing the wheel on canvas
} else { //frontwheel
drawRotatedImage(wheel, car.wheel2x, car.wheel2y-y1-45,sx);
}
for(var i=1; i<=car.speed; i++){ //finding the next xlocation of the wheel with the
//same distance (on the curve) to the previous location as the speed of the car(=the
//distance to the new point on the flat ground)
var t2 = (xLocWheel + i -hillStart)*inc
var y2 = -scale*0.5 * Math.cos(t2);
if(Math.round(Math.sqrt(i^2+(y2-y1)^2))==car.speed){
sx = sx+i; //the new xcoordinate break;
}
}
}
The for loop is the problem. It might bee too slow (animation with fps 24). I cant understand why the if statement isnt working at the moment. It works sometimes but most of the times the value of the condition newer reaches the actual xspeed.
Are there some more efficient and easier ways to do this? Or does this code contain some errors? I really appreciate your efforts to solve this! Ive been looking at this piece of code the whole day..

So i is the variable and
x2=x1+i
t2=t1+i*inc
y1=-scale*0.5 * Math.cos(t1)
y2=-scale*0.5 * Math.cos(t2)
which somehow is strange. The landscape should be time independent, that is, y should be a function of x only. The time step is external, determined by the speed of the animation loop. So a more logical model would have dx as variable and
dt = t2-t1
x2 = x1 + dx
y1 = f(x1) = -0.5*scale*cos(x1)
y2 = f(x2) = -0.5*scale*cos(x2)
and you would be looking for the intersection of
(x2-x1)^2+(y2-y1)^2 = (speed*dt)^2
which simplifies to
(speed*dt)^2=dx^2+0.25*scale^2*(cos(x1+dx)-cos(x1))^2
For small values of dx, which would be the case if dt or speed*dt is small,
cos(x1+dx)-cos(x1) is approx. -sin(x1)*dx
leading to
dx = (speed*dt) / sqrt( 1+0.25*scale^2*sin(x1)^2 )
To get closer to the intersection of curve and circle, you can then iterate the fixed point equation
dydx = 0.5*scale*(cos(x1+dx)-cos(x1))/dx
dx = (speed*dt) / ( 1+dydx^2 )
a small number of times.

Refactor word cloud algorithm

As part of a word cloud rendering algorithm (inspired by this question), I created a Javascript / Processing.js function that moves a rectangle of a word along an ever increasing spiral, until there is no collision anymore with previously placed words. It works, yet I'm uncomfortable with the code quality.
So my question is: How can I restructure this code to be:
readable + understandable
fast (not doing useless calculations)
elegant (using few lines of code)
I would also appreciate any hints to best practices for programming with a lot of calculations.
Rectangle moveWordRect(wordRect){
// Perform a spiral movement from center
// using the archimedean spiral and polar coordinates
// equation: r = a + b * phi
// Calculate mid of rect
var midX = wordRect.x1 + (wordRect.x2 - wordRect.x1)/2.0;
var midY = wordRect.y1 + (wordRect.y2 - wordRect.y1)/2.0;
// Calculate radius from center
var r = sqrt(sq(midX - width/2.0) + sq(midY - height/2.0));
// Set a fixed spiral width: Distance between successive turns
var b = 15;
// Determine current angle on spiral
var phi = r / b * 2.0 * PI;
// Increase that angle and calculate new radius
phi += 0.2;
r = (b * phi) / (2.0 * PI);
// Convert back to cartesian coordinates
var newMidX = r * cos(phi);
var newMidY = r * sin(phi);
// Shift back respective to mid
newMidX += width/2;
newMidY += height/2;
// Calculate movement
var moveX = newMidX - midX;
var moveY = newMidY - midY;
// Apply movement
wordRect.x1 += moveX;
wordRect.x2 += moveX;
wordRect.y1 += moveY;
wordRect.y2 += moveY;
return wordRect;
}

The quality of the underlying geometric algorithm is outside my area of expertise. However, on the quality of the code, I would say you could extract a lot of functions from it. Many of the lines that you have commented could be turned into separate functions, for example:
Calculate Midpoint of Rectangle
Calculate Radius
Determine Current Angle
Convert Polar to Cartesian Coodinates
You could consider using more descriptive variable names too. 'b' and 'r' require looking back up the code to see what they are for, but 'spiralWidth' and 'radius' do not.

In addition to Stephen's answer,
simplify these two lines:
var midX = wordRect.x1 + (wordRect.x2 - wordRect.x1)/2.0;
var midY = wordRect.y1 + (wordRect.y2 - wordRect.y1)/2.0;
The better statements:
var midX = (wordRect.x1 + wordRect.x2)/2.0;
var midY = (wordRect.y1 + wordRect.y2)/2.0;

Find column, row on 2D isometric grid from x,y screen space coords (Convert equation to function)

I'm trying to find the row, column in a 2d isometric grid of a screen space point (x, y)
Now I pretty much know what I need to do which is find the length of the vectors in red in the pictures above and then compare it to the length of the vector that represent the bounds of the grid (which is represented by the black vectors)
Now I asked for help over at mathematics stack exchange to get the equation for figuring out what the parallel vectors are of a point x,y compared to the black boundary vectors. Link here Length of Perpendicular/Parallel Vectors
but im having trouble converting this to a function
Ideally i need enough of a function to get the length of both red vectors from three sets of points, the x,y of the end of the 2 black vectors and the point at the end of the red vectors.
Any language is fine but ideally javascript

What you need is a base transformation:
Suppose the coordinates of the first black vector are (x1, x2) and the coordinates of the second vector are (y1, y2).
Therefore, finding the red vectors that get at a point (z1, z2) is equivalent to solving the following linear system:
x1*r1 + y1*r2 = z1
x2*r1 + y2*r2 = z2
or in matrix form:
A x = b
/x1 y1\ |r1| = |z1|
\x2 y2/ |r2| |z2|
x = inverse(A)*b
For example, lets have the black vector be (2, 1) and (2, -1). The corresponding matrix A will be
2 2
1 -1
and its inverse will be
1/4 1/2
1/4 -1/2
So a point (x, y) in the original coordinates will be able to be represened in the alternate base, bia the following formula:
(x, y) = (1/4 * x + 1/2 * y)*(2,1) + (1/4 * x -1/2 * y)*(2, -1)

What exactly is the point of doing it like this? Any isometric grid you display usually contains cells of equal size, so you can skip all the vector math and simply do something like:
var xStep = 50,
yStep = 30, // roughly matches your image
pointX = 2*xStep,
pointY = 0;
Basically the points on any isometric grid fall onto the intersections of a non-isometric grid. Isometric grid controller:
screenPositionToIsoXY : function(o, w, h){
var sX = ((((o.x - this.canvas.xPosition) - this.screenOffsetX) / this.unitWidth ) * 2) >> 0,
sY = ((((o.y - this.canvas.yPosition) - this.screenOffsetY) / this.unitHeight) * 2) >> 0,
isoX = ((sX + sY - this.cols) / 2) >> 0,
isoY = (((-1 + this.cols) - (sX - sY)) / 2) >> 0;
// isoX = ((sX + sY) / isoGrid.width) - 1
// isoY = ((-2 + isoGrid.width) - sX - sY) / 2
return $.extend(o, {
isoX : Math.constrain(isoX, 0, this.cols - (w||0)),
isoY : Math.constrain(isoY, 0, this.rows - (h||0))
});
},
// ...
isoToUnitGrid : function(isoX, isoY){
var offset = this.grid.offset(),
isoX = $.uD(isoX) ? this.isoX : isoX,
isoY = $.uD(isoY) ? this.isoY : isoY;
return {
x : (offset.x + (this.grid.unitWidth / 2) * (this.grid.rows - this.isoWidth + isoX - isoY)) >> 0,
y : (offset.y + (this.grid.unitHeight / 2) * (isoX + isoY)) >> 0
};
},

Okay so with the help of other answers (sorry guys neither quite provided the answer i was after)
I present my function for finding the grid position on an iso 2d grid using a world x,y coordinate where the world x,y is an offset screen space coord.
WorldPosToGridPos: function(iPosX, iPosY){
var d = (this.mcBoundaryVectors.upper.x * this.mcBoundaryVectors.lower.y) - (this.mcBoundaryVectors.upper.y * this.mcBoundaryVectors.lower.x);
var a = ((iPosX * this.mcBoundaryVectors.lower.y) - (this.mcBoundaryVectors.lower.x * iPosY)) / d;
var b = ((this.mcBoundaryVectors.upper.x * iPosY) - (iPosX * this.mcBoundaryVectors.upper.y)) / d;
var cParaUpperVec = new Vector2(a * this.mcBoundaryVectors.upper.x, a * this.mcBoundaryVectors.upper.y);
var cParaLowerVec = new Vector2(b * this.mcBoundaryVectors.lower.x, b * this.mcBoundaryVectors.lower.y);
var iGridWidth = 40;
var iGridHeight = 40;
var iGridX = Math.floor((cParaLowerVec.length() / this.mcBoundaryVectors.lower.length()) * iGridWidth);
var iGridY = Math.floor((cParaUpperVec.length() / this.mcBoundaryVectors.upper.length()) * iGridHeight);
return {gridX: iGridX, gridY: iGridY};
},
The first line is best done once in an init function or similar to save doing the same calculation over and over, I just included it for completeness.
The mcBoundaryVectors are two vectors defining the outer limits of the x and y axis of the isometric grid (The black vectors shown in the picture above).
Hope this helps anyone else in the future

How to define the intersection of three circles?

Given three circles with their center point and radius, how can you define the area of intersection?
So far what I have is:
var point1 = {x: -3, y: 0};
var point2 = {x: 3, y: 0};
var point3 = {x: 0, y: -3};
var r1 = 5;
var r2 = 5;
var r3 = 5;
var area = returnIntersectionArea(point1, point2, point3, r1, r2, r3);
Also, if two collide but not the third, the function should return null.
If none collide, null should be returned.

This article describes how to find the area of the intersection between two circles. The result it easily extended to three circles.
-------------EDIT-------------
OK, the problem is not easily extended to three circles, I found PhD theses on the subject. Assuming the three circles intersect as shown below, an approximate solution can be found (I think). Before we attempt it, we must check if the three circles indeed intersect as shown below. The problem changes quite a bit if say one circle is inside the other and the third intersects them both.
.
Let S1,S2 and S3 denote the areas of the three circles, and X1,X2 and X3 denote the area of the intersections between each pair of circles (index increases in clockwise direction). As we already established, there are exact formulae for these. Consider the following system of linear equations:
A+D+F+G = A+D+X1 = S1
B+D+E+G = B+D+ X3 = S2
B+E+D+G = B+E+X2 = S3
It is underdetermined, but an approximate solution can be found using least squares. I haven't tried it numerically but will get back to you as soon as I do :D
If the least-squares solution seems wrong, we should also impose several constraints, e.g. the area if the intersection between any pair of circles is smaller than the area of the circles.
Comments are appreciated.
PS +1 to Simon for pointing out I shouldn't qualify things as easy

One way of approaching this problem is via a Monte Carlo simulation:
function returnIntersectionArea(point1, point2, point3, r1, r2, r3) {
// determine bounding rectangle
var left = Math.min(point1.x - r1, point2.x - r2, point3.x - r3);
var right = Math.max(point1.x + r1, point2.x + r2, point3.x + r3);
var top = Math.min(point1.y - r1, point2.y - r2, point3.y - r3);
var bottom = Math.max(point1.y + r1, point2.y + r2, point3.y + r3);
// area of bounding rectangle
var rectArea = (right - left) * (bottom - top);
var iterations = 10000;
var pts = 0;
for (int i=0; i<iterations; i++) {
// random point coordinates
var x = left + Math.rand() * (right - left);
var y = top + Math.rand() * (bottom - top);
// check if it is inside all the three circles (the intersecting area)
if (Math.sqrt(Math.pow(x - point1.x, 2) + Math.pow(y - point1.y, 2)) <= r1 &&
Math.sqrt(Math.pow(x - point2.x, 2) + Math.pow(y - point2.y, 2)) <= r2 &&
Math.sqrt(Math.pow(x - point3.x, 2) + Math.pow(y - point3.y, 2)) <= r3)
pts++;
}
// the ratio of points inside the intersecting area will converge to the ratio
// of the area of the bounding rectangle and the intersection
return pts / iterations * rectArea;
}
The solution can be improved to arbitrary precision (within floating-point limits) by increasing the number of iterations, although the rate at which the solution is approached may become slow. Obviously, choosing a tight bounding box is important for achieving good convergence.