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Haversine formula to find distance between two points on a sphere
• Last Updated : 20 Nov, 2018

The Haversine formula calculates the shortest distance between two points on a sphere using their latitudes and longitudes measured along the surface. It is important for use in navigation. The haversine can be expressed in trignometric function as: The haversine of the central angle (which is d/r) is calculated by the following formula: where r is the radius of earth(6371 km), d is the distance between two points, is latitude of the two points and is longitude of the two points respectively.

Solving d by applying the inverse haversine or by using the inverse sine function, we get: or The distance between Big Ben in London (51.5007° N, 0.1246° W) and The Statue of Liberty in
New York (40.6892° N, 74.0445° W) is 5574.8 km. This is not the exact measurement because the
formula assumes that the Earth is a perfect sphere when in fact it is an oblate spheroid.

Below is the implementation of the above formulae:

## C++

 // C++ program for the haversine formula// C++ program for the// haversine formula#include #include using namespace std;  static double haversine(double lat1, double lon1,                        double lat2, double lon2)    {        // distance between latitudes        // and longitudes        double dLat = (lat2 - lat1) *                      M_PI / 180.0;        double dLon = (lon2 - lon1) *                       M_PI / 180.0;          // convert to radians        lat1 = (lat1) * M_PI / 180.0;        lat2 = (lat2) * M_PI / 180.0;          // apply formulae        double a = pow(sin(dLat / 2), 2) +                    pow(sin(dLon / 2), 2) *                    cos(lat1) * cos(lat2);        double rad = 6371;        double c = 2 * asin(sqrt(a));        return rad * c;    }  // Driver codeint main(){    double lat1 = 51.5007;    double lon1 = 0.1246;    double lat2 = 40.6892;    double lon2 = 74.0445;          cout << haversine(lat1, lon1,                      lat2, lon2) << " K.M.";    return 0;}  // This code is contributed// by Mahadev.

## Java

 // Java program for the haversine formulapublic class Haversine {      static double haversine(double lat1, double lon1,                            double lat2, double lon2)    {        // distance between latitudes and longitudes        double dLat = Math.toRadians(lat2 - lat1);        double dLon = Math.toRadians(lon2 - lon1);          // convert to radians        lat1 = Math.toRadians(lat1);        lat2 = Math.toRadians(lat2);          // apply formulae        double a = Math.pow(Math.sin(dLat / 2), 2) +                    Math.pow(Math.sin(dLon / 2), 2) *                    Math.cos(lat1) *                    Math.cos(lat2);        double rad = 6371;        double c = 2 * Math.asin(Math.sqrt(a));        return rad * c;    }      // Driver Code    public static void main(String[] args)    {        double lat1 = 51.5007;        double lon1 = 0.1246;        double lat2 = 40.6892;        double lon2 = 74.0445;        System.out.println(haversine(lat1, lon1, lat2, lon2) + " K.M.");    }}

## Python 3

 # Python 3 program for the # haversine formulaimport math  # Python 3 program for the# haversine formuladef haversine(lat1, lon1, lat2, lon2):          # distance between latitudes    # and longitudes    dLat = (lat2 - lat1) * math.pi / 180.0    dLon = (lon2 - lon1) * math.pi / 180.0      # convert to radians    lat1 = (lat1) * math.pi / 180.0    lat2 = (lat2) * math.pi / 180.0      # apply formulae    a = (pow(math.sin(dLat / 2), 2) +          pow(math.sin(dLon / 2), 2) *              math.cos(lat1) * math.cos(lat2));    rad = 6371    c = 2 * math.asin(math.sqrt(a))    return rad * c  # Driver codeif __name__ == "__main__":    lat1 = 51.5007    lon1 = 0.1246    lat2 = 40.6892    lon2 = 74.0445          print(haversine(lat1, lon1,lat2, lon2), "K.M.")  # This code is contributed # by ChitraNayal

## C#

 // C# program for the haversine formulausing System;class GFG{  static double haversine(double lat1, double lon1,                        double lat2, double lon2){    // distance between latitudes and longitudes    double dLat = (Math.PI / 180) * (lat2 - lat1);    double dLon = (Math.PI / 180) * (lon2 - lon1);      // convert to radians    lat1 = (Math.PI / 180) * (lat1);    lat2 = (Math.PI / 180) * (lat2);      // apply formulae    double a = Math.Pow(Math.Sin(dLat / 2), 2) +                Math.Pow(Math.Sin(dLon / 2), 2) *                Math.Cos(lat1) * Math.Cos(lat2);    double rad = 6371;    double c = 2 * Math.Asin(Math.Sqrt(a));    return rad * c;}  // Driver Codepublic static void Main(){    double lat1 = 51.5007;    double lon1 = 0.1246;    double lat2 = 40.6892;    double lon2 = 74.0445;    Console.WriteLine(haversine(lat1, lon1,                                 lat2, lon2) + " K.M.");}}  // This code is contributed // by Akanksha Rai(Abby_akku)

## PHP

 
Output:
5574.840456848555 K.M.


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