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178 changes: 178 additions & 0 deletions Others/Dijkstra.java
Original file line number Diff line number Diff line change
@@ -0,0 +1,178 @@
package Others;


/**
* Dijkstra's algorithm,is a graph search algorithm that solves the single-source
* shortest path problem for a graph with nonnegative edge path costs, producing
* a shortest path tree.
*
* NOTE: The inputs to Dijkstra's algorithm are a directed and weighted graph consisting
* of 2 or more nodes, generally represented by an adjacency matrix or list, and a start node.
*
* Original source of code: https://rosettacode.org/wiki/Dijkstra%27s_algorithm#Java
* Also most of the comments are from RosettaCode.
*
*/
//import java.io.*;
import java.util.*;
public class Dijkstra {
private static final Graph.Edge[] GRAPH = {
new Graph.Edge("a", "b", 7), //Distance from node "a" to node "b" is 7. In the current Graph there is no way to move the other way (e,g, from "b" to "a"), a new edge would be needed for that
new Graph.Edge("a", "c", 9),
new Graph.Edge("a", "f", 14),
new Graph.Edge("b", "c", 10),
new Graph.Edge("b", "d", 15),
new Graph.Edge("c", "d", 11),
new Graph.Edge("c", "f", 2),
new Graph.Edge("d", "e", 6),
new Graph.Edge("e", "f", 9),
};
private static final String START = "a";
private static final String END = "e";

/**
* main function
* Will run the code with "GRAPH" that was defined above.
*/
public static void main(String[] args) {
Graph g = new Graph(GRAPH);
g.dijkstra(START);
g.printPath(END);
//g.printAllPaths();
}
}

class Graph {
private final Map<String, Vertex> graph; // mapping of vertex names to Vertex objects, built from a set of Edges

/** One edge of the graph (only used by Graph constructor) */
public static class Edge {
public final String v1, v2;
public final int dist;
public Edge(String v1, String v2, int dist) {
this.v1 = v1;
this.v2 = v2;
this.dist = dist;
}
}

/** One vertex of the graph, complete with mappings to neighbouring vertices */
public static class Vertex implements Comparable<Vertex>{
public final String name;
public int dist = Integer.MAX_VALUE; // MAX_VALUE assumed to be infinity
public Vertex previous = null;
public final Map<Vertex, Integer> neighbours = new HashMap<>();

public Vertex(String name)
{
this.name = name;
}

private void printPath()
{
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The opening brace { and method declarations should be on the same line. Most of the standard source code for the Java API is written in this style.
eg.

public Vertex(String name) {
    this.name = name;
}

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Also for the blocks inside a function.

if (this == this.previous) {
    System.out.printf("%s", this.name);
} 

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Updated brackets. New version here
Let me know if I missed any.

if (this == this.previous)
{
System.out.printf("%s", this.name);
}
else if (this.previous == null)
{
System.out.printf("%s(unreached)", this.name);
}
else
{
this.previous.printPath();
System.out.printf(" -> %s(%d)", this.name, this.dist);
}
}

public int compareTo(Vertex other)
{
if (dist == other.dist)
return name.compareTo(other.name);

return Integer.compare(dist, other.dist);
}

@Override public String toString()
{
return "(" + name + ", " + dist + ")";
}
}

/** Builds a graph from a set of edges */
public Graph(Edge[] edges) {
graph = new HashMap<>(edges.length);

//one pass to find all vertices
for (Edge e : edges) {
if (!graph.containsKey(e.v1)) graph.put(e.v1, new Vertex(e.v1));
if (!graph.containsKey(e.v2)) graph.put(e.v2, new Vertex(e.v2));
}

//another pass to set neighbouring vertices
for (Edge e : edges) {
graph.get(e.v1).neighbours.put(graph.get(e.v2), e.dist);
//graph.get(e.v2).neighbours.put(graph.get(e.v1), e.dist); // also do this for an undirected graph
}
}

/** Runs dijkstra using a specified source vertex */
public void dijkstra(String startName) {
if (!graph.containsKey(startName)) {
System.err.printf("Graph doesn't contain start vertex \"%s\"\n", startName);
return;
}
final Vertex source = graph.get(startName);
NavigableSet<Vertex> q = new TreeSet<>();

// set-up vertices
for (Vertex v : graph.values()) {
v.previous = v == source ? source : null;
v.dist = v == source ? 0 : Integer.MAX_VALUE;
q.add(v);
}

dijkstra(q);
}

/** Implementation of dijkstra's algorithm using a binary heap. */
private void dijkstra(final NavigableSet<Vertex> q) {
Vertex u, v;
while (!q.isEmpty()) {

u = q.pollFirst(); // vertex with shortest distance (first iteration will return source)
if (u.dist == Integer.MAX_VALUE) break; // we can ignore u (and any other remaining vertices) since they are unreachable

//look at distances to each neighbour
for (Map.Entry<Vertex, Integer> a : u.neighbours.entrySet()) {
v = a.getKey(); //the neighbour in this iteration

final int alternateDist = u.dist + a.getValue();
if (alternateDist < v.dist) { // shorter path to neighbour found
q.remove(v);
v.dist = alternateDist;
v.previous = u;
q.add(v);
}
}
}
}

/** Prints a path from the source to the specified vertex */
public void printPath(String endName) {
if (!graph.containsKey(endName)) {
System.err.printf("Graph doesn't contain end vertex \"%s\"\n", endName);
return;
}

graph.get(endName).printPath();
System.out.println();
}
/** Prints the path from the source to every vertex (output order is not guaranteed) */
public void printAllPaths() {
for (Vertex v : graph.values()) {
v.printPath();
System.out.println();
}
}
}
6 changes: 6 additions & 0 deletions SkylineProblem/SkylineProblem.java
Original file line number Diff line number Diff line change
@@ -1,3 +1,9 @@
/**
* Given n rectangular buildings in a 2-dimensional city, computes the skyline of these buildings,
* eliminating hidden lines. The main task is to view buildings from a side and remove all sections
* that are not visible.
* Source for explanation: https://www.geeksforgeeks.org/the-skyline-problem-using-divide-and-conquer-algorithm/
*/
import java.util.ArrayList;
import java.util.Iterator;
import java.util.Scanner;
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