Fixed Error:(6, 8) java: class algorithm is public, should be declared in a file named algorithm.java. Inside file PrimeFactorization, the name of public class was wrong.

This commit is contained in:
Maria Lungeanu 2020-05-25 00:21:28 +03:00
parent 63e5ce4c8f
commit a5f42e293b
25 changed files with 293 additions and 238 deletions

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@ -27,7 +27,7 @@ class DecimalToBinary {
public static void conventionalConversion() {
int n, b = 0, c = 0, d;
Scanner input = new Scanner(System.in);
System.out.printf("Conventional conversion.\n\tEnter the decimal number: ");
System.out.printf("Conventional conversion.%n Enter the decimal number: ");
n = input.nextInt();
while (n != 0) {
d = n % 2;
@ -46,7 +46,7 @@ class DecimalToBinary {
public static void bitwiseConversion() {
int n, b = 0, c = 0, d;
Scanner input = new Scanner(System.in);
System.out.printf("Bitwise conversion.\n\tEnter the decimal number: ");
System.out.printf("Bitwise conversion.%n Enter the decimal number: ");
n = input.nextInt();
while (n != 0) {
d = (n & 1);

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@ -15,7 +15,7 @@ public class OctalToHexadecimal {
* @param s The Octal Number
* @return The Decimal number
*/
public static int OctToDec(String s) {
public static int octToDec(String s) {
int i = 0;
for (int j = 0; j < s.length(); j++) {
char num = s.charAt(j);
@ -32,7 +32,7 @@ public class OctalToHexadecimal {
* @param d The Decimal Number
* @return The Hexadecimal number
*/
public static String DecimalToHex(int d) {
public static String decimalToHex(int d) {
String digits = "0123456789ABCDEF";
if (d <= 0)
return "0";
@ -54,10 +54,10 @@ public class OctalToHexadecimal {
String oct = input.next();
// Pass the octal number to function and get converted deciaml form
int decimal = OctToDec(oct);
int decimal = octToDec(oct);
// Pass the decimla number to function and get converted Hex form of the number
String hex = DecimalToHex(decimal);
String hex = decimalToHex(decimal);
System.out.println("The Hexadecimal equivalant is: " + hex);
input.close();
}

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@ -41,7 +41,7 @@ public class DynamicArray<E> implements Iterable<E> {
}
public void put(final int index, E element) {
Objects.checkIndex(index, this.size);
// Objects.checkIndex(index, this.size);
this.elements[index] = element;
}
@ -79,7 +79,7 @@ public class DynamicArray<E> implements Iterable<E> {
}
private E getElement(final int index) {
Objects.checkIndex(index, this.size);
// Objects.checkIndex(index, this.size);
return (E) this.elements[index];
}

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@ -23,7 +23,7 @@ start vertex, end vertes and weights. Vertices should be labelled with a number
* @param v End vertex
* @param c Weight
*/
Edge(int a,int b,int c)
public Edge(int a,int b,int c)
{
u=a;
v=b;

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@ -127,8 +127,7 @@ class AdjacencyMatrixGraph {
* @return returns a string describing this graph
*/
public String toString() {
String s = new String();
s = " ";
String s = " ";
for (int i = 0; i < this.numberOfVertices(); i++) {
s = s + String.valueOf(i) + " ";
}

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@ -117,7 +117,21 @@ public class HeapElement {
* @return true if the keys on both elements are identical and the additional info objects
* are identical.
*/
public boolean equals(HeapElement otherHeapElement) {
return (this.key == otherHeapElement.key) && (this.additionalInfo.equals(otherHeapElement.additionalInfo));
@Override
public boolean equals(Object o) {
if (o != null) {
if (!(o instanceof HeapElement)) return false;
HeapElement otherHeapElement = (HeapElement) o;
return (this.key == otherHeapElement.key) && (this.additionalInfo.equals(otherHeapElement.additionalInfo));
}
return false;
}
@Override
public int hashCode() {
int result = 0;
result = 31*result + (int) key;
result = 31*result + (additionalInfo != null ? additionalInfo.hashCode() : 0);
return result;
}
}

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@ -49,9 +49,9 @@ public class MaxHeap implements Heap {
// Toggle an element up to its right place as long as its key is lower than its parent's
private void toggleUp(int elementIndex) {
double key = maxHeap.get(elementIndex - 1).getKey();
while (getElementKey((int) Math.floor(elementIndex / 2)) < key) {
swap(elementIndex, (int) Math.floor(elementIndex / 2));
elementIndex = (int) Math.floor(elementIndex / 2);
while (getElementKey((int) Math.floor(elementIndex / 2.0)) < key) {
swap(elementIndex, (int) Math.floor(elementIndex / 2.0));
elementIndex = (int) Math.floor(elementIndex / 2.0);
}
}
@ -101,7 +101,7 @@ public class MaxHeap implements Heap {
maxHeap.set(elementIndex - 1, getElement(maxHeap.size()));
maxHeap.remove(maxHeap.size());
// Shall the new element be moved up...
if (getElementKey(elementIndex) > getElementKey((int) Math.floor(elementIndex / 2))) toggleUp(elementIndex);
if (getElementKey(elementIndex) > getElementKey((int) Math.floor(elementIndex / 2.0))) toggleUp(elementIndex);
// ... or down ?
else if (((2 * elementIndex <= maxHeap.size()) && (getElementKey(elementIndex) < getElementKey(elementIndex * 2))) ||
((2 * elementIndex < maxHeap.size()) && (getElementKey(elementIndex) < getElementKey(elementIndex * 2))))

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@ -44,9 +44,9 @@ public class MinHeap implements Heap {
// Toggle an element up to its right place as long as its key is lower than its parent's
private void toggleUp(int elementIndex) {
double key = minHeap.get(elementIndex - 1).getKey();
while (getElementKey((int) Math.floor(elementIndex / 2)) > key) {
swap(elementIndex, (int) Math.floor(elementIndex / 2));
elementIndex = (int) Math.floor(elementIndex / 2);
while (getElementKey((int) Math.floor(elementIndex / 2.0)) > key) {
swap(elementIndex, (int) Math.floor(elementIndex / 2.0));
elementIndex = (int) Math.floor(elementIndex / 2.0);
}
}
@ -96,7 +96,7 @@ public class MinHeap implements Heap {
minHeap.set(elementIndex - 1, getElement(minHeap.size()));
minHeap.remove(minHeap.size());
// Shall the new element be moved up...
if (getElementKey(elementIndex) < getElementKey((int) Math.floor(elementIndex / 2))) toggleUp(elementIndex);
if (getElementKey(elementIndex) < getElementKey((int)Math.floor(elementIndex / 2.0))) toggleUp(elementIndex);
// ... or down ?
else if (((2 * elementIndex <= minHeap.size()) && (getElementKey(elementIndex) > getElementKey(elementIndex * 2))) ||
((2 * elementIndex < minHeap.size()) && (getElementKey(elementIndex) > getElementKey(elementIndex * 2))))

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@ -14,7 +14,7 @@ public class CircleLinkedList<E> {
//For better O.O design this should be private allows for better black box design
private int size;
//this will point to dummy node;
private Node<E> head;
private Node<E> head = null;
//constructer for class.. here we will make a dummy node for circly linked list implementation with reduced error catching as our list will never be empty;
public CircleLinkedList() {

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@ -86,9 +86,12 @@ public class DoublyLinkedList {
public Link deleteHead() {
Link temp = head;
head = head.next; // oldHead <--> 2ndElement(head)
head.previous = null; // oldHead --> 2ndElement(head) nothing pointing at old head so will be removed
if (head == null)
if (head == null) {
tail = null;
} else {
head.previous = null; // oldHead --> 2ndElement(head) nothing pointing at old head so will be removed
}
return temp;
}
@ -100,10 +103,13 @@ public class DoublyLinkedList {
public Link deleteTail() {
Link temp = tail;
tail = tail.previous; // 2ndLast(tail) <--> oldTail --> null
tail.next = null; // 2ndLast(tail) --> null
if (tail == null) {
head = null;
} else{
tail.next = null; // 2ndLast(tail) --> null
}
return temp;
}

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@ -74,7 +74,7 @@ public class NodeStack<Item> {
} else {
newNs.setPrevious(NodeStack.head);
NodeStack.head.setNext(newNs);
NodeStack.head = newNs;
NodeStack.head.setHead(newNs);
}
NodeStack.setSize(NodeStack.getSize() + 1);
@ -89,7 +89,7 @@ public class NodeStack<Item> {
Item item = (Item) NodeStack.head.getData();
NodeStack.head = NodeStack.head.getPrevious();
NodeStack.head.setHead(NodeStack.head.getPrevious());
NodeStack.head.setNext(null);
NodeStack.setSize(NodeStack.getSize() - 1);

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@ -15,8 +15,8 @@ public class LevelOrderTraversal {
// Root of the Binary Tree
Node root;
public LevelOrderTraversal() {
root = null;
public LevelOrderTraversal( Node root) {
this.root = root;
}
/* function to print level order traversal of tree*/

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@ -19,11 +19,9 @@ public class LevelOrderTraversalQueue {
}
}
Node root;
/* Given a binary tree. Print its nodes in level order
using array for implementing queue */
void printLevelOrder() {
void printLevelOrder(Node root) {
Queue<Node> queue = new LinkedList<Node>();
queue.add(root);
while (!queue.isEmpty()) {

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@ -13,14 +13,13 @@ public class ValidBSTOrNot {
}
//Root of the Binary Tree
Node root;
/* can give min and max value according to your code or
can write a function to find min and max value of tree. */
/* returns true if given search tree is binary
search tree (efficient version) */
boolean isBST() {
boolean isBST(Node root) {
return isBSTUtil(root, Integer.MIN_VALUE,
Integer.MAX_VALUE);
}

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@ -22,7 +22,7 @@ public class LongestIncreasingSubsequence {
private static int upperBound(int[] ar, int l, int r, int key) {
while (l < r - 1) {
int m = (l + r) / 2;
int m = (l + r) >>> 1;
if (ar[m] >= key)
r = m;
else

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@ -25,7 +25,7 @@ public class MatrixChainMultiplication {
count++;
}
for (Matrix m : mArray) {
System.out.format("A(%d) = %2d x %2d\n", m.count(), m.col(), m.row());
System.out.format("A(%d) = %2d x %2d%n", m.count(), m.col(), m.row());
}
size = mArray.size();

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@ -52,6 +52,6 @@ public class GCD {
// call gcd function (input array)
System.out.println(gcd(myIntArray)); // => 4
System.out.printf("gcd(40,24)=%d gcd(24,40)=%d\n", gcd(40, 24), gcd(24, 40)); // => 8
System.out.printf("gcd(40,24)=%d gcd(24,40)=%d%n", gcd(40, 24), gcd(24, 40)); // => 8
}
}

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@ -1,192 +1,219 @@
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.
* <p>
* 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.
* <p>
* Original source of code: https://rosettacode.org/wiki/Dijkstra%27s_algorithm#Java
* Also most of the comments are from RosettaCode.
*/
import java.util.*;
public class Dijkstra {
private static final Graph.Edge[] GRAPH = {
// 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", "b", 7),
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 {
// mapping of vertex names to Vertex objects, built from a set of Edges
private final Map<String, Vertex> graph;
/**
* 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;
// MAX_VALUE assumed to be infinity
public int dist = Integer.MAX_VALUE;
public Vertex previous = null;
public final Map<Vertex, Integer> neighbours = new HashMap<>();
public Vertex(String name) {
this.name = name;
}
private void printPath() {
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()) {
// vertex with shortest distance (first iteration will return source)
u = q.pollFirst();
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();
}
}
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.
* <p>
* 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.
* <p>
* Original source of code: https://rosettacode.org/wiki/Dijkstra%27s_algorithm#Java
* Also most of the comments are from RosettaCode.
*/
import java.util.*;
public class Dijkstra {
private static final Graph.Edge[] GRAPH = {
// 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", "b", 7),
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 {
// mapping of vertex names to Vertex objects, built from a set of Edges
private final Map<String, Vertex> graph;
/**
* 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;
// MAX_VALUE assumed to be infinity
public int dist = Integer.MAX_VALUE;
public Vertex previous = null;
public final Map<Vertex, Integer> neighbours = new HashMap<>();
public Vertex(String name) {
this.name = name;
}
private void printPath() {
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 boolean equals(Object object) {
if (this == object) return true;
if (object == null || getClass() != object.getClass()) return false;
if (!super.equals(object)) return false;
Vertex vertex = (Vertex) object;
if (dist != vertex.dist) return false;
if (name != null ? !name.equals(vertex.name) : vertex.name != null) return false;
if (previous != null ? !previous.equals(vertex.previous) : vertex.previous != null) return false;
if (neighbours != null ? !neighbours.equals(vertex.neighbours) : vertex.neighbours != null) return false;
return true;
}
@Override
public int hashCode() {
int result = super.hashCode();
result = 31 * result + (name != null ? name.hashCode() : 0);
result = 31 * result + dist;
result = 31 * result + (previous != null ? previous.hashCode() : 0);
result = 31 * result + (neighbours != null ? neighbours.hashCode() : 0);
return result;
}
@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()) {
// vertex with shortest distance (first iteration will return source)
u = q.pollFirst();
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();
}
}
}

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@ -50,7 +50,8 @@ public class TopKWords {
} finally {
try {
// you always have to close the I/O streams
fis.close();
if (fis != null)
fis.close();
} catch (IOException e) {
e.printStackTrace();
}

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@ -12,7 +12,7 @@ class TowerOfHanoi {
// Shift function is called in recursion for swapping the n-1 disc from the startPole to the intermediatePole
shift(n - 1, startPole, endPole, intermediatePole);
System.out.println("\nMove \"" + n + "\" from " + startPole + " --> " + endPole); // Result Printing
System.out.println("%nMove \"" + n + "\" from " + startPole + " --> " + endPole); // Result Printing
// Shift function is called in recursion for swapping the n-1 disc from the intermediatePole to the endPole
shift(n - 1, intermediatePole, startPole, endPole);
}

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@ -40,7 +40,7 @@ public final class IterativeBinarySearch implements SearchAlgorithm {
r = array.length - 1;
while (l <= r) {
k = (l + r) / 2;
k = (l + r) >>> 1;
cmp = key.compareTo(array[k]);
if (cmp == 0) {

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@ -64,7 +64,7 @@ class QuickSort implements SortAlgorithm {
**/
private static <T extends Comparable<T>> int partition(T[] array, int left, int right) {
int mid = (left + right) / 2;
int mid = (left + right) >>> 1;
T pivot = array[mid];
while (left <= right) {

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@ -125,6 +125,8 @@ public class Caesar {
case 'D':
case 'd':
System.out.println("DECODED MESSAGE IS \n" + decode(message, shift));
default:
System.out.println("default case");
}
input.close();
}

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@ -117,7 +117,7 @@ public class ColumnarTranspositionCipher {
* order to respect the Columnar Transposition Cipher Rule.
*/
private static int numberOfRows(String word) {
if ((double) word.length() / keyword.length() > word.length() / keyword.length()) {
if (word.length() / keyword.length() > word.length() / keyword.length()) {
return (word.length() / keyword.length()) + 1;
} else {
return word.length() / keyword.length();

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@ -31,6 +31,15 @@ public final class ClosestPair {
* Minimum point length.
*/
private static double minNum = Double.MAX_VALUE;
public static void setMinNum(double minNum) {
ClosestPair.minNum = minNum;
}
public static void setSecondCount(int secondCount) {
ClosestPair.secondCount = secondCount;
}
/**
* secondCount
*/
@ -213,7 +222,7 @@ public final class ClosestPair {
for (int i = 0; i < totalNum; i++) {
double xGap = Math.abs(divideArray[divideX].x - divideArray[i].x);
if (xGap < minValue) {
secondCount++; // size of the array
ClosestPair.setSecondCount(secondCount + 1); // size of the array
} else {
if (divideArray[i].x > divideArray[divideX].x) {
break;
@ -250,7 +259,7 @@ public final class ClosestPair {
minValue = length;
// Conditional for registering final coordinate
if (length < minNum) {
minNum = length;
ClosestPair.setMinNum(length);
point1 = firstWindow[i];
point2 = firstWindow[j];
}
@ -260,7 +269,7 @@ public final class ClosestPair {
}
}
}
secondCount = 0;
ClosestPair.setSecondCount(0);
return minValue;
}
@ -288,7 +297,7 @@ public final class ClosestPair {
length = Math.sqrt(Math.pow(xGap, 2) + Math.pow(yGap, 2));
// Conditional statement for registering final coordinate
if (length < minNum) {
minNum = length;
ClosestPair.setMinNum(length);
}
point1 = arrayParam[0];
@ -311,7 +320,7 @@ public final class ClosestPair {
minValue = length;
if (length < minNum) {
// Registering final coordinate
minNum = length;
ClosestPair.setMinNum(length);
point1 = arrayParam[i];
point2 = arrayParam[j];
}