apollonius
The apollonius
module provides a function to find a circle that touches three known circles. The resulting circle is a solution to the Problem of Apollonius. In other words, it finds a circle that is tangent to each of the known three circles. The function is robust: the three known circles can be placed freely and are allowed to overlap each other.
Because a circle can be either internally or externally tangent to another circle, the problem of Apollonius has eight solutions in total, one for each combination of tangency rules of the three circles. The function here finds only one solution per call but can be used to find all eight.
The function is very efficient. It has time complexity of O(1) and does not call any trigonometric functions.
Usage
Install via NPM or Yarn:
$ npm install apollonius
Specify your three known circles as { x, y, r }
objects, where x
and y
are the circle center coordinates and r
is the radius. Then call the function apollonius.solve
with the circles. The order of the circles does not matter.
import * as apollonius from 'apollonius'
// OR import solve from 'apollonius'
// OR import { solve } from 'apollonius'
// OR const apollonius = require('apollonius')
// Prepare three known circles.
const c1 = { x: 3, y: 2, r: 1 }
const c2 = { x: 7, y: 2, r: 2 }
const c3 = { x: 3, y: 5, r: 1 }
// Compute a fourth circle that touches the three.
const c = apollonius.solve(c1, c2, c3)
// Result equals { x: 4.367544..., y: 3.5, r: 1.029822... }
The result is a circle object { x, y, r }
or null
if such a circle cannot be found. By default, the resulting circle is externally tangent to each of the three given circles. To find a circle that is internally tangent to some of the circles, specify those circles with negative radius. See below for an example.
// Prepare circles.
const c1 = { x: 3, y: 2, r: -1 } // r < 0, thus internally tangent
const c2 = { x: 7, y: 2, r: 2 } // externally tangent
const c3 = { x: 3, y: 5, r: -1 } // r < 0, thus internally tangent
// Compute the fourth circle.
const c = apollonius.solve(c1, c2, c3)
// Result equals { x: 2.732213..., y: 3.5, r: 2.523715... }
The code above is illustrated below:
The resulting circle is internally tangent to the known circles c1
and c3
and externally tangent to the known circle c2
. Note that while the known circles can have negative radii, the output circle always has positive or zero radius.
Special cases
The fourth circle cannot be found for some configurations of known circles. These configurations may appear when there are:
- nested circles: a circle cannot be internally or externally tangent two or more nested circles at the same time.
- identical circles along a line: when three same-size circles are arranged along a straight line, the radius of the tangent circle would go to infinity.
If the fourth circle cannot be found, the function will return null
.
The fourth circle may reduce to a point (a circle with zero radius) in some configurations of known circles. These configurations may appear when there are:
- identical stacked circles: The known circles are exact copies of each other. Then the externally tangent circle reduces to an arbitrary point on the shared circumference of the known.
- circles intersect at a single point: The known circles share only one common point. Then the externally tangent circle reduces to that point.
API
apollonius.solve(c1, c2, c3)
This function finds a circle that is tangent to three other circles. If no such circle exists, it returns null.
Parameters:
- c1
- an object
{ x, y, r }
, representing a circle in 2D. The properties x
, y
, and r
must be real numbers and are allowed to be negative.
- c2
- c3
Returns:
- an object
{ x, y, r }
where r
is always positive or zero. null
if no tangent circle exists or if the radius of the circle is infinite.
Throws:
- if any of the input circles are missing.
- if any of the input circle properties are NaN or missing.
apollonius.options.epsilon
The function apollonius.solve
handles various (special cases)[#specialcases] by switching to alternative algorithms when certain internal variables turn zero. However, the variables rarely exactly equal zero because of rounding errors caused by floating point arithmetics. Computation with near-zero numbers would cause arbitrary results and therefore a margin of safety is needed.
The epsilon
defines the numerical margin in which an almost zero number is treated as zero. The default value for epsilon is 1e-10
. You can adjust it if needed. For example, if you know the properties of your circles will be large numbers then a larger epsilon may yield more robust behavior near the special cases:
apollonius.options.epsilon = 1e-4
Contribute
Pull requests and bug reports are highly appreciated.
Clone the repository:
$ git clone git@github.com:axelpale/apollonius.git
Install development tooling:
$ cd apollonius; npm install
Please test your contribution. Run the test suite:
$ npm run test
Run only linter:
$ npm run lint
Thank you.
License
The apollonius source code is released under MIT license.