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November 19, 2020 07:32
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Closest Pair
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import 'dart:math'; | |
class ClosestPair { | |
// O(n^2) | |
static double bruteForce2D(List<Point> list) { | |
double closest = double.infinity; | |
for(var i = 0; i < list.length - 1; i++){ | |
for(var j = i + 1; j < list.length; j++){ | |
closest = min(closest, list[i].distanceTo(list[j])); | |
} | |
} | |
return closest; | |
} | |
static double efficient2D(List<Point> list){ | |
List<Point> p = List<Point>.from(list); | |
p.sort((a, b) => a.x.compareTo(b.x)); | |
List<Point> q = List<Point>.from(list); | |
p.sort((a, b) => a.y.compareTo(b.y)); | |
return _efficient2DHelper(p, q); | |
} | |
// O(nlog(n)) | |
// Recurrence Relation: T(n) = 2T(n / 2) + f(n) | |
static double _efficient2DHelper(List<Point> p, List<Point> q) { | |
if (p.length <= 3) { | |
return bruteForce2D(p); | |
} | |
List<Point> p_left = p.sublist(0, (p.length / 2).ceil()); | |
List<Point> q_left = q.sublist(0, (q.length / 2).ceil()); | |
List<Point> p_right = p.sublist((p.length / 2).floor()); | |
List<Point> q_right = q.sublist((q.length / 2).floor()); | |
double delta_left = _efficient2DHelper(p_left, q_left); | |
double delta_right = _efficient2DHelper(p_right, q_right); | |
double delta = min(delta_left, delta_right); | |
int midpoint_x = p[(p.length / 2).ceil() - 1].x; | |
List<Point> split = | |
q.where((point) => (point.x - midpoint_x).abs() < delta).toList(); | |
double delta_min_square = delta * delta; | |
for (var i = 0; i < split.length - 2; i++) { | |
var k = i + 1; | |
while (k <= split.length - 1 && pow(split[k].y - split[i].y, 2) < delta_min_square) { | |
delta_min_square = min(split[k].squaredDistanceTo(split[i]), delta_min_square); | |
} | |
} | |
return sqrt(delta_min_square); | |
} | |
// O(n^2) | |
static num bruteForce1D(List<num> list){ | |
num closest = double.infinity; | |
for(var i = 0; i < list.length - 1; i++){ | |
for(var j = i + 1; j < list.length; j++){ | |
closest = min(closest, (list[i] - list[j]).abs()); | |
} | |
} | |
return closest; | |
} | |
static num efficient1dDivideAndConquer(List<num> list){ | |
list.sort(); | |
return _efficient1dDivideAndConquerHelper(list, 0, list.length - 1); | |
} | |
static num _efficient1dDivideAndConquerHelper(List<num> list, int left, int right){ | |
if (left == right){ | |
return double.infinity; | |
} else if (right - left == 1){ | |
return list[right] - list[left]; | |
} else { | |
var temp = min(_efficient1dDivideAndConquerHelper(list, left, (left + right / 2).floor()), | |
_efficient1dDivideAndConquerHelper(list, (left + right / 2).floor() + 1, right )); | |
return min(temp, list[(left + right / 2).floor() + 1] - list[(left + right / 2).floor()]); | |
} | |
} | |
// O(nlog(n)) = O(nlog(n)) + O(n) | |
static num efficient1DSimple(List<num> list){ | |
num closest = double.infinity; | |
// O(nlog(n)) | |
list.sort(); | |
// O(n) | |
for(var i = 0; i < list.length - 1; i++){ | |
closest = min(closest, (list[i] - list[i + 1]).abs()); | |
} | |
return closest; | |
} | |
} | |
// Studying for an exam | |
// TODO: Test these functions | |
void main() { | |
} |
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