Given N points in 2-dimensional space, we need to find three points such that triangle made by choosing these points should not contain any other points inside. All given points will not lie on the same line so solution will always exist.
Examples:
In above diagram possible triangle with no point
inside can be formed by choosing these triplets,
[(0, 0), (2, 0), (1, 1)]
[(0, 0), (1, 1), (0, 2)]
[(1, 1), (2, 0), (2, 2)]
[(1, 1), (0, 2), (2, 2)]
So any of the above triplets can be the final answer.
The solution is based on the fact that if there exist triangle(s) with no points inside, then we can form a triangle with any random point among all points.
We can solve this problem by searching all three points one by one. The first point can be chosen randomly. After choosing the first point, we need two points such that their slope should be different and no point should lie inside the triangle of these three points. We can do this by choosing the second point as nearest point to the first and third point as second nearest point with the different slope. For doing this, we first iterate over all points and choose the point which is nearest to the first one and designate that as second point of the required triangle. Then we iterate one more time to find point which has different slope and has the smallest distance, which will be the third point of our triangle.
// C/C++ program to find triangle with no point inside #include <bits/stdc++.h> using namespace std;
// method to get square of distance between // (x1, y1) and (x2, y2) int getDistance( int x1, int y1, int x2, int y2)
{ return (x2 - x1)*(x2 - x1) +
(y2 - y1)*(y2 - y1);
} // Method prints points which make triangle with no // point inside void triangleWithNoPointInside( int points[][2], int N)
{ // any point can be chosen as first point of triangle
int first = 0;
int second, third;
int minD = INT_MAX;
// choose nearest point as second point of triangle
for ( int i = 0; i < N; i++)
{
if (i == first)
continue ;
// Get distance from first point and choose
// nearest one
int d = getDistance(points[i][0], points[i][1],
points[first][0], points[first][1]);
if (minD > d)
{
minD = d;
second = i;
}
}
// Pick third point by finding the second closest
// point with different slope.
minD = INT_MAX;
for ( int i = 0; i < N; i++)
{
// if already chosen point then skip them
if (i == first || i == second)
continue ;
// get distance from first point
int d = getDistance(points[i][0], points[i][1],
points[first][0], points[first][1]);
/* the slope of the third point with the first
point should not be equal to the slope of
second point with first point (otherwise
they'll be collinear) and among all such
points, we choose point with the smallest
distance */
// here cross multiplication is compared instead
// of division comparison
if ((points[i][0] - points[first][0]) *
(points[second][1] - points[first][1]) !=
(points[second][0] - points[first][0]) *
(points[i][1] - points[first][1]) &&
minD > d)
{
minD = d;
third = i;
}
}
cout << points[first][0] << ", "
<< points[first][1] << endl;
cout << points[second][0] << ", "
<< points[second][1] << endl;
cout << points[third][0] << ", "
<< points[third][1] << endl;
} // Driver code to test above methods int main()
{ int points[][2] = {{0, 0}, {0, 2}, {2, 0},
{2, 2}, {1, 1}};
int N = sizeof (points) / sizeof (points[0]);
triangleWithNoPointInside(points, N);
return 0;
} |
// Java program to find triangle // with no point inside import java.io.*;
class GFG
{ // method to get square of distance between
// (x1, y1) and (x2, y2)
static int getDistance( int x1, int y1, int x2, int y2)
{
return (x2 - x1)*(x2 - x1) +
(y2 - y1)*(y2 - y1);
}
// Method prints points which make triangle with no
// point inside
static void triangleWithNoPointInside( int points[][], int N)
{
// any point can be chosen as first point of triangle
int first = 0 ;
int second = 0 ;
int third = 0 ;
int minD = Integer.MAX_VALUE;
// choose nearest point as second point of triangle
for ( int i = 0 ; i < N; i++)
{
if (i == first)
continue ;
// Get distance from first point and choose
// nearest one
int d = getDistance(points[i][ 0 ], points[i][ 1 ],
points[first][ 0 ], points[first][ 1 ]);
if (minD > d)
{
minD = d;
second = i;
}
}
// Pick third point by finding the second closest
// point with different slope.
minD = Integer.MAX_VALUE;
for ( int i = 0 ; i < N; i++)
{
// if already chosen point then skip them
if (i == first || i == second)
continue ;
// get distance from first point
int d = getDistance(points[i][ 0 ], points[i][ 1 ],
points[first][ 0 ], points[first][ 1 ]);
/* the slope of the third point with the first
point should not be equal to the slope of
second point with first point (otherwise
they'll be collinear) and among all such
points, we choose point with the smallest
distance */
// here cross multiplication is compared instead
// of division comparison
if ((points[i][ 0 ] - points[first][ 0 ]) *
(points[second][ 1 ] - points[first][ 1 ]) !=
(points[second][ 0 ] - points[first][ 0 ]) *
(points[i][ 1 ] - points[first][ 1 ]) &&
minD > d)
{
minD = d;
third = i;
}
}
System.out.println(points[first][ 0 ] + ", "
+ points[first][ 1 ]);
System.out.println(points[second][ 0 ]+ ", "
+ points[second][ 1 ]) ;
System.out.println(points[third][ 0 ] + ", "
+ points[third][ 1 ]);
}
// Driver code
public static void main (String[] args)
{
int points[][] = {{ 0 , 0 }, { 0 , 2 }, { 2 , 0 },
{ 2 , 2 }, { 1 , 1 }};
int N = points.length;
triangleWithNoPointInside(points, N);
}
} // This article is contributed by vt_m. |
# Python3 program to find triangle # with no point inside import sys
# method to get square of distance between # (x1, y1) and (x2, y2) def getDistance(x1, y1, x2, y2):
return (x2 - x1) * (x2 - x1) + \
(y2 - y1) * (y2 - y1)
# Method prints points which make triangle # with no point inside def triangleWithNoPointInside(points, N):
# any point can be chosen as
# first point of triangle
first = 0
second = 0
third = 0
minD = sys.maxsize
# choose nearest point as
# second point of triangle
for i in range ( 0 , N):
if i = = first:
continue
# Get distance from first point and choose
# nearest one
d = getDistance(points[i][ 0 ], points[i][ 1 ],
points[first][ 0 ],
points[first][ 1 ])
if minD > d:
minD = d
second = i
# Pick third point by finding the second closest
# point with different slope.
minD = sys.maxsize
for i in range ( 0 , N):
# if already chosen point then skip them
if i = = first or i = = second:
continue
# get distance from first point
d = getDistance(points[i][ 0 ], points[i][ 1 ],
points[first][ 0 ],
points[first][ 1 ])
""" the slope of the third point with the first
point should not be equal to the slope of
second point with first point (otherwise
they'll be collinear) and among all such
points, we choose point with the smallest
distance """
# here cross multiplication is compared instead
# of division comparison
if ((points[i][ 0 ] - points[first][ 0 ]) *
(points[second][ 1 ] - points[first][ 1 ]) ! =
(points[second][ 0 ] - points[first][ 0 ]) *
(points[i][ 1 ] - points[first][ 1 ])
and minD > d) :
minD = d
third = i
print (points[first][ 0 ], ', ' , points[first][ 1 ])
print (points[second][ 0 ], ', ' , points[second][ 1 ])
print (points[third][ 0 ], ', ' , points[third][ 1 ])
# Driver code points = [[ 0 , 0 ], [ 0 , 2 ],
[ 2 , 0 ], [ 2 , 2 ], [ 1 , 1 ]]
N = len (points)
triangleWithNoPointInside(points, N) # This code is contributed by Gowtham Yuvaraj |
using System;
// C# program to find triangle // with no point inside public class GFG
{ // method to get square of distance between
// (x1, y1) and (x2, y2)
public static int getDistance( int x1, int y1, int x2, int y2)
{
return (x2 - x1) * (x2 - x1) + (y2 - y1) * (y2 - y1);
}
// Method prints points which make triangle with no
// point inside
public static void triangleWithNoPointInside( int [][] points, int N)
{
// any point can be chosen as first point of triangle
int first = 0;
int second = 0;
int third = 0;
int minD = int .MaxValue;
// choose nearest point as second point of triangle
for ( int i = 0; i < N; i++)
{
if (i == first)
{
continue ;
}
// Get distance from first point and choose
// nearest one
int d = getDistance(points[i][0], points[i][1], points[first][0], points[first][1]);
if (minD > d)
{
minD = d;
second = i;
}
}
// Pick third point by finding the second closest
// point with different slope.
minD = int .MaxValue;
for ( int i = 0; i < N; i++)
{
// if already chosen point then skip them
if (i == first || i == second)
{
continue ;
}
// get distance from first point
int d = getDistance(points[i][0], points[i][1], points[first][0], points[first][1]);
/* the slope of the third point with the first
point should not be equal to the slope of
second point with first point (otherwise
they'll be collinear) and among all such
points, we choose point with the smallest
distance */
// here cross multiplication is compared instead
// of division comparison
if ((points[i][0] - points[first][0]) * (points[second][1] - points[first][1]) != (points[second][0] - points[first][0]) * (points[i][1] - points[first][1]) && minD > d)
{
minD = d;
third = i;
}
}
Console.WriteLine(points[first][0] + ", " + points[first][1]);
Console.WriteLine(points[second][0] + ", " + points[second][1]);
Console.WriteLine(points[third][0] + ", " + points[third][1]);
}
// Driver code
public static void Main( string [] args)
{
int [][] points = new int [][]
{
new int [] {0, 0},
new int [] {0, 2},
new int [] {2, 0},
new int [] {2, 2},
new int [] {1, 1}
};
int N = points.Length;
triangleWithNoPointInside(points, N);
}
} // This code is contributed by Shrikant13
|
<script> // javascript program to find triangle // with no point inside // method to get square of distance between
// (x1, y1) and (x2, y2)
function getDistance(x1 , y1 , x2 , y2) {
return (x2 - x1) * (x2 - x1) + (y2 - y1) * (y2 - y1);
}
// Method prints points which make triangle with no
// point inside
function triangleWithNoPointInside(points , N) {
// any point can be chosen as first point of triangle
var first = 0;
var second = 0;
var third = 0;
var minD = Number.MAX_VALUE;
// choose nearest point as second point of triangle
for (i = 0; i < N; i++) {
if (i == first)
continue ;
// Get distance from first point and choose
// nearest one
var d = getDistance(points[i][0], points[i][1], points[first][0], points[first][1]);
if (minD > d) {
minD = d;
second = i;
}
}
// Pick third point by finding the second closest
// point with different slope.
minD = Number.MAX_VALUE;
for (i = 0; i < N; i++) {
// if already chosen point then skip them
if (i == first || i == second)
continue ;
// get distance from first point
var d = getDistance(points[i][0], points[i][1], points[first][0], points[first][1]);
/*
* the slope of the third point with the first point should not be equal to the
* slope of second point with first point (otherwise they'll be collinear) and
* among all such points, we choose point with the smallest distance
*/
// here cross multiplication is compared instead
// of division comparison
if ((points[i][0] - points[first][0])
* (points[second][1] - points[first][1]) != (points[second][0] - points[first][0])
* (points[i][1] - points[first][1])
&& minD > d) {
minD = d;
third = i;
}
}
document.write(points[first][0] + ", " + points[first][1]+ "<br/>" );
document.write(points[second][0] + ", " + points[second][1]+ "<br/>" );
document.write(points[third][0] + ", " + points[third][1]+ "<br/>" );
}
// Driver code
var points = [ [ 0, 0 ], [ 0, 2 ], [ 2, 0 ], [ 2, 2 ], [ 1, 1 ] ];
var N = points.length;
triangleWithNoPointInside(points, N);
// This code contributed by umadevi9616 </script> |
Output:
0, 0
1, 1
0, 2
Time complexity: O(n)
Auxiliary Space: O(1)
This article is contributed by Utkarsh Trivedi.
Approach#2: Using Brute Force
This code iterates over all possible triangles that can be formed from the given set of points, and checks whether any other point lies inside each triangle. If a triangle is found where no point lies inside, the code returns the triangle. Otherwise, it returns None.
Algorithm
1. Iterate through all possible triangles with vertices from the given points.
2. For each triangle, check if any of the remaining points lie inside the triangle.
3. If no points lie inside any triangle, return the coordinates of the first triangle found.
#include <iostream> #include <vector> #include <cmath> using namespace std;
// Function to calculate the area of a triangle given its three vertices double area( double x1, double y1, double x2, double y2, double x3, double y3) {
return abs ((x1 * (y2 - y3) + x2 * (y3 - y1) + x3 * (y1 - y2)) / 2.0);
} // Function to check if a point (x, y) is inside a triangle defined by its vertices (x1, y1), (x2, y2), and (x3, y3) bool isInsideTriangle( double x1, double y1, double x2, double y2, double x3, double y3, double x, double y) {
double A = area(x1, y1, x2, y2, x3, y3);
double A1 = area(x, y, x2, y2, x3, y3);
double A2 = area(x1, y1, x, y, x3, y3);
double A3 = area(x1, y1, x2, y2, x, y);
return abs (A - (A1 + A2 + A3)) < 1e-9; // Use a small epsilon value for comparison due to floating-point precision
} // Function to find three points from a list that do not form a triangle with any other point inside vector<vector< double >> noPointInsideTriangle(vector<vector< double >> points) {
for ( int i = 0; i < points.size(); ++i) {
for ( int j = i + 1; j < points.size(); ++j) {
for ( int k = j + 1; k < points.size(); ++k) {
bool inside = false ;
for ( int l = 0; l < points.size(); ++l) {
if (l != i && l != j && l != k) {
if (isInsideTriangle(points[i][0], points[i][1], points[j][0], points[j][1], points[k][0], points[k][1], points[l][0], points[l][1])) {
inside = true ;
break ;
}
}
}
if (!inside) {
vector<vector< double >> result = {points[i], points[j], points[k]};
return result;
}
}
}
}
return vector<vector< double >>(); // Return an empty vector if no such set of points is found
} int main() {
vector<vector< double >> points = {{0, 0}, {0, 2}, {2, 0}, {2, 2}, {1, 1}};
vector<vector< double >> result = noPointInsideTriangle(points);
if (!result.empty()) {
cout << "Points that do not form a triangle with any other point inside:" << endl;
for ( const auto & point : result) {
cout << "(" << point[0] << ", " << point[1] << ")" << endl;
}
} else {
cout << "No such set of points found." << endl;
}
return 0;
} |
import java.util.ArrayList;
import java.util.List;
public class Main {
static double area( int x1, int y1, int x2, int y2, int x3, int y3) {
return Math.abs((x1*(y2-y3) + x2*(y3-y1) + x3*(y1-y2))/ 2.0 );
}
static boolean isInsideTriangle( int x1, int y1, int x2, int y2, int x3, int y3, int x, int y) {
double A = area(x1, y1, x2, y2, x3, y3);
double A1 = area(x, y, x2, y2, x3, y3);
double A2 = area(x1, y1, x, y, x3, y3);
double A3 = area(x1, y1, x2, y2, x, y);
return A == A1 + A2 + A3;
}
static List<List<Integer>> noPointInsideTriangle(List<List<Integer>> points) {
for ( int i = 0 ; i < points.size(); i++) {
for ( int j = i+ 1 ; j < points.size(); j++) {
for ( int k = j+ 1 ; k < points.size(); k++) {
boolean inside = false ;
for ( int l = 0 ; l < points.size(); l++) {
if (l != i && l != j && l != k) {
if (isInsideTriangle(points.get(i).get( 0 ), points.get(i).get( 1 ), points.get(j).get( 0 ), points.get(j).get( 1 ), points.get(k).get( 0 ), points.get(k).get( 1 ), points.get(l).get( 0 ), points.get(l).get( 1 ))) {
inside = true ;
break ;
}
}
}
if (!inside) {
List<List<Integer>> result = new ArrayList<>();
result.add(points.get(i));
result.add(points.get(j));
result.add(points.get(k));
return result;
}
}
}
}
return null ;
}
public static void main(String[] args) {
List<List<Integer>> points = new ArrayList<>();
points.add( new ArrayList<Integer>(){{add( 0 ); add( 0 );}});
points.add( new ArrayList<Integer>(){{add( 0 ); add( 2 );}});
points.add( new ArrayList<Integer>(){{add( 2 ); add( 0 );}});
points.add( new ArrayList<Integer>(){{add( 2 ); add( 2 );}});
points.add( new ArrayList<Integer>(){{add( 1 ); add( 1 );}});
List<List<Integer>> result = noPointInsideTriangle(points);
if (result != null ) {
System.out.println(result);
} else {
System.out.println( "No triangle found." );
}
}
} |
def area(x1, y1, x2, y2, x3, y3):
return abs ((x1 * (y2 - y3) + x2 * (y3 - y1) + x3 * (y1 - y2)) / 2.0 )
def is_inside_triangle(x1, y1, x2, y2, x3, y3, x, y):
A = area(x1, y1, x2, y2, x3, y3)
A1 = area(x, y, x2, y2, x3, y3)
A2 = area(x1, y1, x, y, x3, y3)
A3 = area(x1, y1, x2, y2, x, y)
return A = = A1 + A2 + A3
def no_point_inside_triangle(points):
for i in range ( len (points)):
for j in range (i + 1 , len (points)):
for k in range (j + 1 , len (points)):
inside = False
for l in range ( len (points)):
if l ! = i and l ! = j and l ! = k:
if is_inside_triangle(points[i][ 0 ], points[i][ 1 ], points[j][ 0 ], points[j][ 1 ], points[k][ 0 ], points[k][ 1 ], points[l][ 0 ], points[l][ 1 ]):
inside = True
break
if not inside:
return [points[i], points[j], points[k]]
return None
# Example usage points = [[ 0 , 0 ], [ 0 , 2 ], [ 2 , 0 ], [ 2 , 2 ], [ 1 , 1 ]]
print (no_point_inside_triangle(points))
|
using System;
using System.Collections.Generic;
class Program
{ // Function to calculate the area of a triangle given its three vertices
static double Area( double x1, double y1, double x2, double y2, double x3, double y3)
{
return Math.Abs((x1 * (y2 - y3) + x2 * (y3 - y1) + x3 * (y1 - y2)) / 2.0);
}
// Function to check if a point (x, y) is inside a triangle defined by its vertices (x1, y1), (x2, y2), and (x3, y3)
static bool IsInsideTriangle( double x1, double y1, double x2, double y2, double x3, double y3, double x, double y)
{
double A = Area(x1, y1, x2, y2, x3, y3);
double A1 = Area(x, y, x2, y2, x3, y3);
double A2 = Area(x1, y1, x, y, x3, y3);
double A3 = Area(x1, y1, x2, y2, x, y);
return Math.Abs(A - (A1 + A2 + A3)) < 1e-9; // Use a small epsilon value for comparison due to floating-point precision
}
// Function to find three points from a list that do not form a triangle with any other point inside
static List< double []> NoPointInsideTriangle(List< double []> points)
{
for ( int i = 0; i < points.Count; ++i)
{
for ( int j = i + 1; j < points.Count; ++j)
{
for ( int k = j + 1; k < points.Count; ++k)
{
bool inside = false ;
for ( int l = 0; l < points.Count; ++l)
{
if (l != i && l != j && l != k)
{
if (IsInsideTriangle(points[i][0], points[i][1], points[j][0], points[j][1], points[k][0], points[k][1], points[l][0], points[l][1]))
{
inside = true ;
break ;
}
}
}
if (!inside)
{
List< double []> result = new List< double []>
{
points[i],
points[j],
points[k]
};
return result;
}
}
}
}
return new List< double []>(); // Return an empty list if no such set of points is found
}
static void Main( string [] args)
{
List< double []> points = new List< double []>
{
new double [] {0, 0},
new double [] {0, 2},
new double [] {2, 0},
new double [] {2, 2},
new double [] {1, 1}
};
List< double []> result = NoPointInsideTriangle(points);
if (result.Count > 0)
{
Console.WriteLine( "Points that do not form a triangle with any other point inside:" );
foreach ( var point in result)
{
Console.WriteLine($ "({point[0]}, {point[1]})" );
}
}
else
{
Console.WriteLine( "No such set of points found." );
}
}
} |
// JavaScript equivalent of the Python code above function area(x1, y1, x2, y2, x3, y3) {
return Math.abs((x1 * (y2 - y3) + x2 * (y3 - y1) + x3 * (y1 - y2)) / 2.0);
} function is_inside_triangle(x1, y1, x2, y2, x3, y3, x, y) {
const A = area(x1, y1, x2, y2, x3, y3); const A1 = area(x, y, x2, y2, x3, y3); const A2 = area(x1, y1, x, y, x3, y3); const A3 = area(x1, y1, x2, y2, x, y); return A === A1 + A2 + A3;
} function no_point_inside_triangle(points) {
for (let i = 0; i < points.length; i++) {
for (let j = i + 1; j < points.length; j++) {
for (let k = j + 1; k < points.length; k++) {
let inside = false ;
for (let l = 0; l < points.length; l++) {
if (l !== i && l !== j && l !== k) {
if (is_inside_triangle(points[i][0], points[i][1], points[j][0], points[j][1], points[k][0], points[k][1], points[l][0], points[l][1])) {
inside = true ;
break ;
} } } if (!inside) {
return [points[i], points[j], points[k]];
} } } } return null ;
} // Example usage const points = [[0, 0], [0, 2], [2, 0], [2, 2], [1, 1]]; console.log(no_point_inside_triangle(points)); |
[[0, 0], [0, 2], [1, 1]]
Time complexity: O(n^4), where n is the number of points. This is because we need to iterate through all possible triangles, which is n choose 3, and then check if each of the remaining points lies inside the triangle, which is O(n).
Space complexity: O(1), since we only store a few variables at a time.