Depth first search tree
Hi,
I have stored some states in a vector (States are numbers). In my code i have printed out the parent nodes, the 2 elements after the parent nodes are there child.
The element placed at position 0 in the vector is the root. I do not know how to implement a depth first search tree to address unreachable node. In this case, parent node 5 is unreachable, from other nodes. But i do not know how to do this. I have spent ages reading tutorials/ book, but i cant seem to convert this knowledge into java. My code is very short and therefore easy to understand
import java.awt.*;
import java.util.*;
public class Vec{
public static void main(String argv[]){
Vec v = new Vec();
v.remove();
}//End of main
public void remove(){
Vector mv = new Vector();
//Note how a vector can store objects
//of different types
mv.addElement(1); // root and parent node of 2 elements below
mv.addElement(2); // child of above
mv.addElement(1); // child of above
mv.addElement(2); // parent of 2 elements below
mv.addElement(4);
mv.addElement(2);
mv.addElement(3); // parent of 2 elements below
mv.addElement(1);
mv.addElement(3);
mv.addElement(4); // parent of 2 elements below
mv.addElement(3);
mv.addElement(4);
mv.addElement(5); // parent of 2 elements below
mv.addElement(2);
mv.addElement(4);
// below identifys the parent nodes for you, but doesnt store them as parent nodes
for(int i=0; i< mv.size(); i++){
if (i % 3 == 0)
System.out.println(mv.elementAt(i));
}//End of amethod
Ah ok, it's a graph and not a tree. In that case don't use the tree-code I posted, but model your graph as an adjacency matrix (AM) [1]. The AM for the graph you posted in reply #5 would look like this:
Node | 1 2 3 4 5
-----+--------------
1 | 1 1 0 0 0
|
2 | 0 1 0 1 0
|
3 | 1 0 1 0 0
|
4 | 0 0 1 1 0
|
5 | 0 1 1 0 0You can implement this by using a simple 2D array of integers like this:class Graph {
private int[][] adjacencyMatrix;
public Graph(int numNodes) {
adjacencyMatrix = new int[numNodes][numNodes];
public void addEdge(int from, int to) {
adjacencyMatrix[from-1][to-1] = 1;
public boolean isReachable(Integer start, Integer goal) {
// your algorithm here
return false;
public String toString() {
StringBuilder strb = new StringBuilder();
for(int i = 0; i < adjacencyMatrix.length; i++) {
int[] row = adjacencyMatrix;
strb.append((i+1)+" | ");
for(int j = 0; j < row.length; j++) {
strb.append(adjacencyMatrix[i][j]+" ");
strb.append('\n');
return strb.toString();
public static void main(String[] args) {
Graph graph = new Graph(5);
graph.addEdge(1, 1);
graph.addEdge(1, 2);
graph.addEdge(2, 2);
graph.addEdge(2, 4);
graph.addEdge(3, 1);
graph.addEdge(3, 3);
graph.addEdge(4, 3);
graph.addEdge(4, 4);
graph.addEdge(5, 2);
graph.addEdge(5, 3);
System.out.println("Adjacency Matrix:\n"+graph);
System.out.println("Is node 5 reachable from node 1? "+
graph.isReachable(new Integer(1), new Integer(5))); // should be false
System.out.println("Is node 1 reachable from node 5? "+
graph.isReachable(new Integer(5), new Integer(1))); // should be true: a path exists from 5 -> 3 -> 1 and 5 -> 2 -> 4 -> 3 -> 1
Good luck.
[1]
http://en.wikipedia.org/wiki/Adjacency_matrix
http://mathworld.wolfram.com/AdjacencyMatrix.html
Similar Messages
-
Depth First Search, Breadth First Search
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I
have this table that form a tree where record with column value 'more_left' 0 is located more left than 1 (for example, record with id 2 has a parent id 1 and more left than record with id 7 that also has parent id 1):
with t as(
select 2 id,1 parent_id,0 most_left from dual
union all
select 7 id,1 parent_id,1 most_left from dual
union all
select 8 id,1 parent_id,2 most_left from dual
union all
select 3 id,2 parent_id,0 most_left from dual
union all
select 6 id,2 parent_id,1 most_left from dual
union all
select 9 id,8 parent_id,0 most_left from dual
union all
select 12 id,8 parent_id,1 most_left from dual
union all
select 4 id,3 parent_id,0 most_left from dual
union all
select 5 id,3 parent_id,1 most_left from dual
union all
select 10 id,9 parent_id,0 most_left from dual
union all
select 11 id,9 parent_id,1 most_left from dual
select * from t;The problem is to show all the ids, using Breadth First Search and Depth First Search. Tx, in advance.
Edited by: Red Penyon on Apr 12, 2012 3:39 AMHi,
I fail to understand how comes there is no row for ID=1 ?
The topmost parent (the root) should be in the table also.
For 11g, this would work (as long as the root is in the table) :Scott@my11g SQL>l
1 WITH t AS
2 (SELECT 1 ID, 0 parent_id, 0 most_left
3 FROM DUAL
4 UNION ALL
5 SELECT 2 ID, 1 parent_id, 0 most_left
6 FROM DUAL
7 UNION ALL
8 SELECT 7 ID, 1 parent_id, 1 most_left
9 FROM DUAL
10 UNION ALL
11 SELECT 8 ID, 1 parent_id, 2 most_left
12 FROM DUAL
13 UNION ALL
14 SELECT 3 ID, 2 parent_id, 0 most_left
15 FROM DUAL
16 UNION ALL
17 SELECT 6 ID, 2 parent_id, 1 most_left
18 FROM DUAL
19 UNION ALL
20 SELECT 9 ID, 8 parent_id, 0 most_left
21 FROM DUAL
22 UNION ALL
23 SELECT 12 ID, 8 parent_id, 1 most_left
24 FROM DUAL
25 UNION ALL
26 SELECT 4 ID, 3 parent_id, 0 most_left
27 FROM DUAL
28 UNION ALL
29 SELECT 5 ID, 3 parent_id, 1 most_left
30 FROM DUAL
31 UNION ALL
32 SELECT 10 ID, 9 parent_id, 0 most_left
33 FROM DUAL
34 UNION ALL
35 SELECT 11 ID, 9 parent_id, 1 most_left
36 FROM DUAL
37 )
38 select
39 rt
40 ,listagg(id,'-') within group (order by lvl,id) BFS
41 ,listagg(id,'-') within group (order by pth,lvl) DFS
42 from (
43 SELECT id, connect_by_root(id) rt, sys_connect_by_path(most_left,'-') pth, level lvl, most_left
44 FROM t
45 CONNECT by nocycle prior ID = parent_id
46 START WITH parent_id = 0
47 )
48* group by rt
Scott@my11g SQL>/
RT BFS DFS
1 1-2-7-8-3-6-9-12-4-5-10-11 1-2-3-4-5-6-7-8-9-10-11-12But as long as you're 10g, that is no real help.
I'll try to think of a way to get that with 10g.
10g solution for DFS :Scott@my10g SQL>l
1 WITH t AS
2 (
3 SELECT 1 ID, 0 parent_id, 0 most_left FROM DUAL UNION ALL
4 SELECT 2 ID, 1 parent_id, 0 most_left FROM DUAL UNION ALL
5 SELECT 7 ID, 1 parent_id, 1 most_left FROM DUAL UNION ALL
6 SELECT 8 ID, 1 parent_id, 2 most_left FROM DUAL UNION ALL
7 SELECT 3 ID, 2 parent_id, 0 most_left FROM DUAL UNION ALL
8 SELECT 6 ID, 2 parent_id, 1 most_left FROM DUAL UNION ALL
9 SELECT 9 ID, 8 parent_id, 0 most_left FROM DUAL UNION ALL
10 SELECT 12 ID, 8 parent_id, 1 most_left FROM DUAL UNION ALL
11 SELECT 4 ID, 3 parent_id, 0 most_left FROM DUAL UNION ALL
12 SELECT 5 ID, 3 parent_id, 1 most_left FROM DUAL UNION ALL
13 SELECT 10 ID, 9 parent_id, 0 most_left FROM DUAL UNION ALL
14 SELECT 11 ID, 9 parent_id, 1 most_left FROM DUAL
15 )
16 select max(pth) DFS
17 from (
18 select sys_connect_by_path(id,'-') pth
19 from (
20 select id,pth,lvl,most_left, row_number() over (order by pth, lvl) rn
21 from (
22 select id, sys_connect_by_path(most_left,'-') pth, level lvl, most_left
23 from t
24 CONNECT by nocycle prior ID = parent_id
25 START WITH parent_id = 0
26 )
27 order by pth, lvl
28 )
29 connect by prior rn= rn-1
30 start with rn=1
31* )
Scott@my10g SQL>/
DFS
-1-2-3-4-5-6-7-8-9-10-11-12------
10g solution for BFS :Scott@my10g SQL>l
1 WITH t AS
2 (
3 SELECT 1 ID, 0 parent_id, 0 most_left FROM DUAL UNION ALL
4 SELECT 2 ID, 1 parent_id, 0 most_left FROM DUAL UNION ALL
5 SELECT 7 ID, 1 parent_id, 1 most_left FROM DUAL UNION ALL
6 SELECT 8 ID, 1 parent_id, 2 most_left FROM DUAL UNION ALL
7 SELECT 3 ID, 2 parent_id, 0 most_left FROM DUAL UNION ALL
8 SELECT 6 ID, 2 parent_id, 1 most_left FROM DUAL UNION ALL
9 SELECT 9 ID, 8 parent_id, 0 most_left FROM DUAL UNION ALL
10 SELECT 12 ID, 8 parent_id, 1 most_left FROM DUAL UNION ALL
11 SELECT 4 ID, 3 parent_id, 0 most_left FROM DUAL UNION ALL
12 SELECT 5 ID, 3 parent_id, 1 most_left FROM DUAL UNION ALL
13 SELECT 10 ID, 9 parent_id, 0 most_left FROM DUAL UNION ALL
14 SELECT 11 ID, 9 parent_id, 1 most_left FROM DUAL
15 )
16 select max(pth) BFS
17 from (
18 select sys_connect_by_path(id,'-') pth
19 from (
20 select id,pth,lvl,most_left, row_number() over (order by lvl, pth) rn
21 from (
22 select id, sys_connect_by_path(most_left,'-') pth, level lvl, most_left
23 from t
24 CONNECT by nocycle prior ID = parent_id
25 START WITH parent_id = 0
26 )
27 order by lvl, pth
28 )
29 connect by prior rn= rn-1
30 start with rn=1
31* )
Scott@my10g SQL>/
BFS
-1-2-7-8-3-6-9-12-4-5-10-11There might certainly have better ways... -
Depth First Search w/o Recursion
I am trying to use Depth First Search for 2-D maze, and I was just wondering if there was a straight forward and easy way of doing DFS of a maze without using recursion. Or is recursion the really only way you do DFS without invoking a lot of messy variables to hold temporary information.
itereation instead of recursion...can you be a little more discriptive.
For recursion I can understand how it works because when you pop out of one recursive cycle you got to the next command. So basically
move{
if you can
go left
move()
go right
move()
go up
move()
go down
move()
else
pop out of recursion
hopefully this pseudocode makes some sense. But absically lets say with my maze I go right 3 times then can't go right anymore...well when that happens it will try to go right, because after calling move() under "go left" the next step would just be to go left. But I don't see how this can be done iteratively. If somebody can explain it pseudocode that would be cool too. -
When to go for Breadth first search over depth first search
hi,
under which scenarios breadth first search could be used and under which scenarios depth first search could be used?
what is the difference between these two searches?
Regards,
Ajay.No real clear-cut rule for when to use one over the other. It depends on the nature of your search and where you would prefer to find results.
The difference is that in breadth-first you first search all immidiate neighbours before searching their neighbours (sort of like preorder traversal). Whereas in depth-first you search some random (or otherwise selected) neighbour and then a neighbour of that node until you can't go deeper (i.e., you've searched a neighbour that has no other neighbours). This probably isn't a very clear explanation, perhaps you'll find this more helpful: http://www.ics.uci.edu/~eppstein/161/960215.html
If you would prefer to find results closer to the origin node, breadth first would be better. If you would prefer to find results further away use depth first. -
8-Puzzle Depth First Search .. Need Help
Hi, I have the following code for doing a depth first search on the 8-Puzzle problem
The puzzle is stored as an object that contains an array such that the puzzle
1--2--3
4--5--6
7--8--[] is stored as (1,2,3,4,5,6,7,8,0)
The class for the puzzle is:
class Puzzle implements {
Puzzle parent;
int[] pzle;
int blank;
Puzzle(int p1,int p2,int p3,int p4,int p5, int p6, int p7, int p8, int p9){
pzle = new int[9];
pzle[0] = p1; if(p1==0){ blank=0;}
pzle[1] = p2; if(p2==0){ blank=1;}
pzle[2] = p3; if(p3==0){ blank=2;}
pzle[3] = p4; if(p4==0){ blank=3;}
pzle[4] = p5; if(p5==0){ blank=4;}
pzle[5] = p6; if(p6==0){ blank=5;}
pzle[6] = p7; if(p7==0){ blank=6;}
pzle[7] = p8; if(p8==0){ blank=7;}
pzle[8] = p9; if(p9==0){ blank=8;}
public Puzzle() {
public boolean equals(Puzzle p){
if(p == null) return false;
for(int i =0;i<9;i++){
if(p.pzle!=pzle[i]){
return false;
return true;
public String toString(){
return pzle[0] + "\t" + pzle[1] + "\t" + pzle [2] + "\n" +
pzle[3] + "\t" + pzle[4] + "\t" + pzle [5] + "\n" +
pzle[6] + "\t" + pzle[7] + "\t" + pzle [8] + "\n";
public String printSolution(){
String ret ="";
Puzzle st = parent;
while(st!=null){
ret = st + "\n=======================\n" + ret;
st = st.parent;
ret=ret+this;
return ret;
public ArrayList<Puzzle> successors(){
ArrayList<Puzzle> succ = new ArrayList<Puzzle>();
int b = blank;
if (((b-1) % 3) != 2 && b!=0) {
Puzzle np1 = new Puzzle();
np1.parent = this;
np1.pzle = new int[9];
for(int i =0;i<9;i++){
np1.pzle[i] = pzle[i];
np1.pzle[b] = np1.pzle[b-1]; np1.pzle[b-1] = 0;
np1.blank = b-1;
if(!np1.equals(this.parent)){
succ.add(np1);
if (((b+1) % 3) != 0) {
Puzzle np2 = new Puzzle();
np2.parent = this;
np2.pzle = new int[9];
for(int i =0;i<9;i++){
np2.pzle[i] = pzle[i];
np2.pzle[b] = np2.pzle[b+1]; np2.pzle[b+1] = 0;
np2.blank = b+1;
if(!np2.equals(this.parent)){
succ.add(np2);
if (b-3 >= 0) {
Puzzle np3 = new Puzzle();
np3.parent = this;
np3.pzle = new int[9];
for(int i =0;i<9;i++){
np3.pzle[i] = pzle[i];
np3.pzle[b] = np3.pzle[b-3]; np3.pzle[b-3] = 0;
np3.blank = b-3;
if(!np3.equals(this.parent)){
succ.add(np3);
if (b+3 < 9) {
Puzzle np4 = new Puzzle();
np4.parent = this;
np4.pzle = new int[9];
for(int i =0;i<9;i++){
np4.pzle[i] = pzle[i];
np4.pzle[b] = np4.pzle[b+3]; np4.pzle[b+3] = 0;
np4.blank = b+3;
if(!np4.equals(this.parent)){
succ.add(np4);
return succ;
The code for the DFS is public static boolean DFS(Puzzle p, Puzzle goal, ArrayList<Puzzle> closed){
if(p.equals(goal)){
sol=p;
return true;
for(Puzzle pz : closed){
if(pz.equals(p)){
return false;
closed.add(p);
//Generate all possible puzzles that can be attained
ArrayList<Puzzle> succ = p.successors();
for(Puzzle puz : succ){
if(DFS(puz,goal,closed)){ return true;}
return false;
}The problem is that when i run this on say the following start and goal: Puzzle startP = new Puzzle(5,4,0,6,1,8,7,3,2);
Puzzle goalP =new Puzzle(1,2,3,8,0,4,7,6,5);
ArrayList<Puzzle> closed = new ArrayList<Puzzle>();
startP.parent=null;
boolean t = DFS(startP,goalP,closed);5-4-0
6-1-8
7-3-2
start and goal
1-2-3
8-0-4
7-6-5
it first takes foreever which is expected but it There should be 9! possible states correct? If I print out the size of the closed array (already seen states) it gets up to about 180000 and then returns with no solution found. But this is well under the 9! possible states...
Its hard to know whats wrong and if it is even wrong.. but could someone please look at my code and see if something is off?
I dont think the successor generator is wrong as I tested the blank in every space and it got the correct successors.
Any ideas?Puzzle(int p1,int p2,int p3,int p4,int p5, int p6, int p7, int p8, int p9){
pzle = new int[9];
pzle[0] = p1; if(p1==0){ blank=0;}
pzle[1] = p2; if(p2==0){ blank=1;}
pzle[2] = p3; if(p3==0){ blank=2;}
pzle[3] = p4; if(p4==0){ blank=3;}
pzle[4] = p5; if(p5==0){ blank=4;}
pzle[5] = p6; if(p6==0){ blank=5;}
pzle[6] = p7; if(p7==0){ blank=6;}
pzle[7] = p8; if(p8==0){ blank=7;}
pzle[8] = p9; if(p9==0){ blank=8;}
}vs
Puzzle(int...puzzle) {
assert puzzle.length == 9;
this.puzzle = Arrays.copyOf(puzzle, 9);
for (int blank = 0; blank < 9; ++blank) if (puzzle[blank] == 0) break;
// check values are 0...8
Arrays.sort(puzzle); // sorts the original
for (int i = 0; i < 9; ++i) assert puzzle[i] == i;
Does anyone know if there are any simple applets or programs that do 8 Puzzle on any given start and finish state? Just to see the expected results.Not off hand, but you can always generate your starting state by moving backwards from the finish state.
Also, I dont know..but are there some instances of an 8 Puzzle that cannot be solved at all?? IIRC, you can't transform 123 to 132 leaving the remainder unchanged, though I haven't checked. -
I have an assignment to do on a graph and have to apply depth first search so it ouputs the vertices in a order. I understand the algorithm and can do it on paper but i cannot do it in code so if anyone can help me on this. Here are the classes i am working with
public class MatrixGraph extends AbstractGraph {
private double[][] matrix;
public MatrixGraph(int nV, boolean direct, boolean weight ){
super(nV, direct, weight);
matrix = new double[nV][nV];
// if a weighted graph set all values to Double.POSITIVE_INFINITY
// otherwise set all values to 0
//complete this code
public boolean isEdge(int source, int dest) {
throw new UnsupportedOperationException("Not supported yet.");
public void insert(Edge edge) {
throw new UnsupportedOperationException("Not supported yet.");
public void remove(Edge edge) {
throw new UnsupportedOperationException("Not supported yet.");
public void depthFirstTraversal(int start){
//Output the vertices in depth first order
public abstract class AbstractGraph implements Graph {
private int numV;
private boolean directed;
private boolean weighted;
public AbstractGraph(int nV, boolean direct, boolean weight){
numV = nV;
directed = direct;
weighted = weight;
public int getNumV() {
return numV;
public boolean isDirected() {
return directed;
public boolean isWeighted() {
return weighted;
public interface Graph {
//returns the number of vertices
int getNumV();
// determine if this is a directed graph
boolean isDirected();
// determine if this is a weighted graph
boolean isWeighted();
// determine if an edge exists between source and destination
boolean isEdge(int source, int dest);
void insert(Edge edge);
void remove(Edge edge);
}JavaLearner2009 wrote:
public void depthFirstTraversal(int start){
//Output the vertices in depth first order
}I need help on this part i don't know how to write it.You mentioned you understand the algorithm and can do it on paper so what have you tried so far?
If you are completely stuck on implementing the traversal in Java, provide pseudo code.
Mel -
Depth first search and breadth first search
can anyone help for this program. can anyone give me a program for this without using an applet.
thanks!!!can anyone help for this program. can anyone give me a
program for this without using an applet.
thanks!!!What are you talking about? What program? Depth-first means you recursively search from root to the first leaf, then go up one level, go down as far as you can, repeat. Breadth-first means you search every node on each level before going on to the next level. -
Is SQR #include a depth first search or breadth first search alrgorithm
Just wondering if SQR compiler is a dfs or bfs algorithm? I am guessing a dfs since includes can show up at the beginning or end of the sqr or sqc definition but position is relevant. So a few questions that branch off of that one.
I have successfully included file filea.sqc and fileb.sqc in myfile.sqr, then included file subfile.sqc in both filea.sqc and fileb.sqc. There seemed to be no error message, so I am wondering how the file include works. I would think from a compiler point of view, if we included the same procedure or function twice, we should do one of three things - ignore the second instance (do nothing), override the first instance, or throw an error.
So, anyone know how the compiler stack is built?The documentation doesn't help much, but if you want to prevent an include from being loaded more than once, you should be able to use a combination of compiler directives, i.e. #IFNDEF and #DEFINE.
In your example, if you code subfile.sqc like
#IFNDEF SUBFILE_INCLUDED
#DEFINE SUBFILE_INCLUDED Y
begin-procedure subfile_proc
#ENDIFthen you should only get one copy of the code between the #IFNDEF-#ENDIF statements.
You could probably use something similar to test how SQR handles multiple includes of the same file. Try something like
#IFDEF SUBFILE_INCLUDED
Display 'Subfile included twice'
#ENDIF
#IFNDEF SUBFILE_INCLUDED
#DEFINE SUBFILE_INCLUDED Y
#ENDIFand see if the message is displayed.
Regards,
Bob -
hi,
could u help me i want to read tree(node and edges betwwen node) i want to use DFS but it's unclear how to DFS to read data stored in file
do I need to store tree information in file or create it in the same jave
could u help me pleaseMelanie_Green wrote:
ali99099 wrote:
hi,
could u help me i want to read tree(node and edges betwwen node) i want to use DFS but it's unclear how to DFS to read data stored in file
do I need to store tree information in file or create it in the same jave
could u help me pleaseI don't think I can explain DFS better then the 1 quadrillion sites out there, however I could sum up the algorithm in less then a sentence. Left most child before Right child then Parent, rinse repeat.
You also mention data is stored in a file, as we have NFC what type of data is stored in the file or how the data is stored I can not give you an answer.
p.s. Sentences start with a capital letter.
Melp.s. "then" is an adverb, you want the conjunction "than" -
Depth First Search (LIFO) - stacked based
Hi Everyone,
Herewith attached my workable Breadth fist search (FIFO) code - queue based. Now, I would like to change to LIFO - stacked based.
Anyone here can give some guideline on it?
Many thanks.
Attachments:
Version 1.zip 64 KBI've changed it to queue FIFO. but in the end, it won't show a complete path to reach the destination point. However, queue stack LIFO can show a complete path from starting point till the goal point.
Does that means queue FIFO cannot be used in finding a complete path out? Is there any possible way for this method to find its way out?
Herewith attached queue FIFO.
Attachments:
Queue FIFO.zip 64 KB -
Using depth first traversal to add a new node to a tree with labels
Hello,
I'm currently trying to work my way through Java and need some advice on using and traversing trees. I've written a basic JTree program, which allows the user to add and delete nodes. Each new node is labelled in a sequential order and not dependent upon where they are added to the tree.
Basically, what is the best way to add and delete these new nodes with labels that reflect their position in the tree in a depth-first traversal?
ie: the new node's label will correctly reflect its position in the tree and the other labels will change to reflect this addition of a new node.
I've searched Google and can't seem to find any appropriate examples for this case.
My current code is as follows,
import java.awt.*;
import java.awt.event.*;
import javax.swing.*;
import javax.swing.event.*;
import javax.swing.tree.*;
public class BasicTreeAddDelete extends JFrame implements ActionListener
private JTree tree;
private DefaultTreeModel treeModel;
private JButton addButton;
private JButton deleteButton;
private int newNodeSuffix = 1;
public BasicTreeAddDelete()
setTitle("Basic Tree with Add and Delete Buttons");
DefaultMutableTreeNode rootNode = new DefaultMutableTreeNode("Root");
treeModel = new DefaultTreeModel(rootNode);
tree = new JTree(treeModel);
JScrollPane scrollPane = new JScrollPane(tree);
getContentPane().add(scrollPane, BorderLayout.CENTER);
JPanel panel = new JPanel();
addButton = new JButton("Add Node");
addButton.addActionListener(this);
panel.add(addButton);
getContentPane().add(panel, BorderLayout.SOUTH);
deleteButton = new JButton("Delete Node");
deleteButton.addActionListener(this);
panel.add(deleteButton);
getContentPane().add(panel, BorderLayout.SOUTH);
setDefaultCloseOperation(EXIT_ON_CLOSE);
setSize(400, 300);
setVisible(true);
public void actionPerformed(ActionEvent event)
DefaultMutableTreeNode selectedNode = (DefaultMutableTreeNode)tree.getLastSelectedPathComponent();
if(event.getSource().equals(addButton))
if (selectedNode != null)
// add the new node as a child of a selected node at the end
DefaultMutableTreeNode newNode = new DefaultMutableTreeNode("New Node" + newNodeSuffix++);
treeModel.insertNodeInto(newNode, selectedNode, selectedNode.getChildCount());
//make the node visible by scrolling to it
TreeNode[] totalNodes = treeModel.getPathToRoot(newNode);
TreePath path = new TreePath(totalNodes);
tree.scrollPathToVisible(path);
else if(event.getSource().equals(deleteButton))
//remove the selected node, except the parent node
removeSelectedNode();
public void removeSelectedNode()
DefaultMutableTreeNode selectedNode = (DefaultMutableTreeNode)tree.getLastSelectedPathComponent();
if (selectedNode != null)
//get the parent of the selected node
MutableTreeNode parent = (MutableTreeNode)(selectedNode.getParent());
// if the parent is not null
if (parent != null)
//remove the node from the parent
treeModel.removeNodeFromParent(selectedNode);
public static void main(String[] arg)
BasicTreeAddDelete basicTree = new BasicTreeAddDelete();
} Thank you for any help.> Has anybody got any advice, help or know of any
examples for this sort of problem.
Thank you.
Check this site: http://www.apl.jhu.edu/~hall/java/Swing-Tutorial/Swing-Tutorial-JTree.html -
How to extend breadth first Search for Binary Tree to any kind of Tree??
Dear Friends,
I am thinking a problem, How to extend breadth first Search for Binary Tree to any kind of Tree?? ie each node has more than 2 leaves such as 1, 2,3,4 or any,
I have following code to successfully apply for breadth first Search in Binary Tree as follows,
package a.border;
import java.util.ArrayList;
import java.util.LinkedList;
public class Tree
int root;
Tree left;
Tree right;
static ArrayList<Integer> list = new ArrayList<Integer>();
static ArrayList<Tree> treeList = new ArrayList<Tree>();
private static LinkedList<Tree> queue = new LinkedList<Tree>();
* @param root root value
* @param left left node
* @param right right node
public Tree(int root, Tree left, Tree right)
this.root = root;
this.left = left;
this.right = right;
/** Creates a new instance of Tree
* You really should know what this does...
* @param root
public Tree(int root)
this.root = root;
this.left = null;
this.right = null;
* Simply runs a basic left then right traversal.
public void basicTraversal()
//Check if we can go left
if (left != null)
left.basicTraversal();
//Add the root
list.add(root);
//Check if we can go right
if (right != null)
right.basicTraversal();
public ArrayList<Integer> getBreadthTraversal(ArrayList<Integer> list)
//Add the root to the arraylist, we know it is always the first entry.
list.add(root);
//Basically we add the first set of nodes into the queue for
//traversing.
//Query if left exists
if (left != null)
//Then add the node into the tree for traversing later
queue.add(left);
//Same for right
if (right != null)
queue.add(right);
//Then we call the traverse method to do the rest of the work
return traverse(list);
private ArrayList<Integer> traverse(ArrayList<Integer> list)
//Keep traversing until we run out of people
while (!queue.isEmpty())
Tree p = queue.remove();
//Check if it has any subnodes
if (p.left != null)
//Add the subnode to the back of the queue
queue.add(p.left);
//Same for left
if (p.right != null)
//Same here, no queue jumping!
queue.add(p.right);
//Append to the ArrayList
list.add(p.root);
//And return
return list;
* Makes a tree and runs some operations
* @param args
public static void main(String[] args)
* 4
* t = 2 6
* 1 3 5 7
Tree leaf6 = new Tree(1);
Tree leaf7 = new Tree(3);
Tree leaf8 = new Tree(5);
Tree leaf9 = new Tree(7);
Tree t4 = new Tree(2, leaf6, leaf7);
Tree t5 = new Tree(6, leaf8, leaf9);
Tree t = new Tree(4, t4, t5);
t.basicTraversal();
System.out.println("Here is basicTraversal ="+list.toString());
list.clear();
t.getBreadthTraversal(list);
System.out.println("getBreadthTraversal= " +list.toString());
list.clear();
}Can Guru help how to update to any kind of tree??
here this code is for the tree like:
* 4
* t = 2 6
* 1 3 5 7
*/But i hope the new code can handle tree like:
* 4
* / | \
* / | \
* t = 2 8 6
* / | \ | /| \
* 1 11 3 9 5 10 7
*/Thankssunnymanman wrote:
Dear Friends,
I am thinking a problem, How to extend breadth first Search for Binary Tree to any kind of Tree?? ...The answer is interfaces.
What do all trees have in common? And what do all nodes in trees have in common?
At least these things:
interface Tree<T> {
Node<T> getRoot();
interface Node<T> {
T getData();
List<Node<T>> getChildren();
}Now write concrete classes implementing these interfaces. Let's start with a binary tree (nodes should have comparable items) and an n-tree:
class BinaryTree<T extends Comparable<T>> implements Tree<T> {
protected BTNode<T> root;
public Node<T> getRoot() {
return root;
class BTNode<T> implements Node<T> {
private T data;
private Node<T> left, right;
public List<Node<T>> getChildren() {
List<Node<T>> children = new ArrayList<Node<T>>();
children.add(left);
children.add(right);
return children;
public T getData() {
return data;
class NTree<T> implements Tree<T> {
private NTNode<T> root;
public Node<T> getRoot() {
return root;
class NTNode<T> implements Node<T> {
private T data;
private List<Node<T>> children;
public List<Node<T>> getChildren() {
return children;
public T getData() {
return data;
}Now with these classes, you can wite a more generic traversal class. Of course, every traversal class (breath first, depth first) will also have something in common: they return a "path" of nodes (if the 'goal' node/data is found). So, you can write an interface like this:
interface Traverser<T> {
List<Node<T>> traverse(T goal, Tree<T> tree);
}And finally write an implementation for it:
class BreathFirst<T> implements Traverser<T> {
public List<Node<T>> traverse(T goal, Tree<T> tree) {
Node<T> start = tree.getRoot();
List<Node<T>> children = start.getChildren();
// your algorithm here
return null; // return your traversal
}... which can be used to traverse any tree! Here's a small demo of how to use it:
public class Test {
public static void main(String[] args) {
Tree<Integer> binTree = new BinaryTree<Integer>();
// populate your binTree
Tree<Integer> nTree = new NTree<Integer>();
// populate your nTree
Traverser<Integer> bfTraverser = new BreathFirst<Integer>();
// Look for integer 6 in binTree
System.out.println("bTree bfTraversal -> "+bfTraverser.traverse(6, binTree));
// Look for integer 6 in nTree
System.out.println("bTree bfTraversal -> "+bfTraverser.traverse(6, nTree));
}Good luck! -
Depth/Breadth First Search
Hello all,
I am trying to figure out how to do a depth and breadth first search on a graph of Cities, as defined below. I think that I understand the searches, but I am having an extremely difficult time figuring out how to implement them.
If anyone has any tips, suggestions, or hints (for some reason I think I'm probably just overlooking something simple), I would greatly appreciate them.
Thanks for any help!
* to represent an individual city
public class City {
String name;
double latitude;
double longitude;
ArrayList<Edge> neighbors;
//the constructor
public City(String name, double latitude, double longitude){
this.name = name;
this.latitude = latitude;
this.longitude = longitude;
this.neighbors = new ArrayList<Edge>();
//to check if this city is equal to that given city
public boolean same(City c){
return this.name.equals(c.name) && this.latitude == c.latitude &&
this.longitude == c.longitude;
* to represent an edge between two cities
public class Edge {
City city1;
City city2;
double dist;
boolean visited;
public Edge(City city1, City city2){
this.city1 = city1;
this.city2 = city2;
this.dist = this.distTo();
this.visited = false;
* to find the distance between the two cities in an edge
public double distTo(){
return Math.sqrt(((this.city1.latitude - this.city2.latitude) *
(this.city1.latitude - this.city2.latitude)) +
((this.city1.longitude - this.city2.longitude) *
(this.city1.longitude - this.city2.longitude)));
* to represent a path between two cities as a list
* of edges
public class Graph {
ArrayList<Edge> alist;
public Graph(ArrayList<Edge> alist){
this.alist = alist;
}http://en.wikipedia.org/wiki/Breadth-first_search (includes algorithm)
-
Searching a binary search tree written to a file
hello
I have a binary search tree which has 10 levels. Now I want to search a node
after writing all the nodes to a file.
Can anyone help me in doing this. A sample code would be great ...
Thanks
KYou suggest that I do away with the inner class
then?Absolutely. In fact I strongly suggest this. You are learning how to code and need to do things cleanly and in small steps. That means first creating your Node class and making sure it works. Then creating your Tree class, and making sure it works. In fact I would load the Strings into the Tree class first directly and testing things before even thinking about reading to and from files. Only then should you implement the file input and output steps.
The key here is that you don't go on to the next step until you're reasonably sure that your current code works. Remember, it's MUCH easier to code than to debug. -
Binary search tree - writing to a file in alphabetic order words from tree
Hi
I have written a program that will read a list of words from a file, insert these into a binary search tree, write words from the tree to another file, so that the resulting list contains words in ascending order. My input file Alpha1.txt contains the following contents in the order and format given (one word per line):
Dawn
Dave
Mike
Beth
David
Gina
Pat
Cindy
Sue
My program is supposed to be producing an alphabetical list of these words in another file "final.txt".
Instead it gives me the following list:
Dave Beth David Gina Cindy Sue Pat Mike Dawn
This is obviously wrong, right? My correct list in "final.txt" should be
Beth Cindy Dave David Dawn Gina Mike Pat Sue
I am not sure what is wrong with my code which I reproduce below:
import java.io.*;
import java.util.*;
//read Java Developer's Almanac from exampledepot.com
//Read this: http://en.wikipedia.org/wiki/Tree_traversal
/**preorder(node)
print node.value
if node.left ? null then preorder(node.left)
if node.right ? null then preorder(node.right)
public class AlphabeticBinarySortTree
private static TreeNode root;
private static TreeNode runner;
static String[] alphaArray;
static int alphaCounter;
private static TreeNode alphaRunner;
//Inner class
private static class TreeNode
String word;
TreeNode left;
TreeNode right;
int count;
public TreeNode(String word)
this.word = word;
left = null;
right = null;
public void insertAll(TreeNode newNode)
if(newNode.word.compareTo(runner.word) < 1)
System.out.println("newNode.word = " + newNode.word);
if(runner.left == null)
runner.left = newNode;
runner = runner.left;
else
insertAll(newNode);
else if(newNode.word.compareTo(runner.word) > 1)
System.out.println("newNode.word = " + newNode.word);
if(runner.right == null)
runner.right = newNode;
runner = runner.right;
else
insertAll(newNode);
else
count++;
}// end method insertAll
// Recursively print words (with counts) in sorted order
public static void printInPreOrder(TreeNode root)
System.out.println(root.word + " ");
if(root.left != null)
printInPreOrder(root.left);
if(root.right != null)
printInPreOrder(root.right);
} //end method printInPreOrder()
//called from inside main
public static void arrangeInAscendingOrder(TreeNode root, PrintWriter pWriter)
if(root.left != null)
arrangeInAscendingOrder(root.left, pWriter);
System.out.println();
System.out.println();
System.out.println(root.word + " ");
pWriter.write(root.word + " ");
if(root.right != null)
arrangeInAscendingOrder(root.right, pWriter);
}//end inner class TreeNode
public AlphabeticBinarySortTree()
root = null;
//belong to the outer class
public static void main(String[] args)
System.out.println("This program reads text from a file that it will parse. ");
System.out.println("In doing so, it will eliminate duplicate strings and ");
System.out.println("pick up only unique strings.These strings will be in a ");
System.out.println("stored in alphabetical order in a binary Search tree before they are ");
System.out.println("written out to another text file in alphabetic order");
//open the file for reading
try
BufferedReader bReader = new BufferedReader(new FileReader("Alpha1.txt"));
String words;
int count;
//System.out.println("A test to inspect the contents of words: " + words);
//System.out.println("Words =" + words);
count = 0;
//why is there an endless loop when
//I use "while(str != null)
StringTokenizer st;
st = null;
//based on http://www.exampledepot.com/egs/java.io/ReadLinesFromFile.html
while ((words = bReader.readLine()) != null)
st = new StringTokenizer(words);
while(st.hasMoreTokens())
//shiffman.net/teaching/a2z/concordance
String token = st.nextToken();
System.out.println("Token = " +token);
AlphabeticBinarySortTree.initiateInsert(token);
//count the number of tokens in the string
count++;
}//end inner while
}//end outer while
System.out.println("Here are the contents of your tree:");
//System.out.println("before the call to print()");
print();
System.out.println("the no of words in the file is: " + count);
bReader.close();
}//end of try
catch(IOException exception)
exception.printStackTrace();
/**try
FileWriter fWriter = new FileWriter("final.txt");
BufferedWriter bWriter = new BufferedWriter(fWriter);
PrintWriter pWriter = new PrintWriter(bWriter);
catch(IOExcepion exception)
exception.printStackTrace();
} // end main here
//this method belongs to the outer class
static void initiateInsert(String word)
//TreeNode is also static by the way
TreeNode newNode = new TreeNode(word);
if(root == null)
root = newNode;
System.out.println("root.word = " + root.word);
runner = root;
else
runner.insertAll(newNode);
// Start the recursive traversing of the tree
//without the access specifier 'static'
//I would get the following error message
//AlphabeticBinarySortTree.java:119: non-static method print() cannot be referenced from a static context
public static void print()
//System.out.println("**********AM I INSIDE THE PRINT() METHOD? ********");
if (root != null)
//System.out.println("++++++++ AM I INSIDE THE IF BLOCK OF THE PRINT() METHOD? +++++++");
//System.out.println("Inside THE IF BLOCK OF print() BUT BEFORE THE CALL TO printInPreOrder(),root.word = " + root.word);
AlphabeticBinarySortTree.TreeNode.printInPreOrder(root);
//open the file for writing
try
FileWriter fWriter = new FileWriter("final.txt");
BufferedWriter bWriter = new BufferedWriter(fWriter);
PrintWriter pWriter = new PrintWriter(bWriter);
AlphabeticBinarySortTree.TreeNode.arrangeInAscendingOrder(root, pWriter);
pWriter.close();
catch(IOException eException)
eException.printStackTrace();
}//end of if block
} // end of method print
}//end outer enclosing class here--------
All help is highly appreciated. Thanks for your time and consideration.You suggest that I do away with the inner class
then?Absolutely. In fact I strongly suggest this. You are learning how to code and need to do things cleanly and in small steps. That means first creating your Node class and making sure it works. Then creating your Tree class, and making sure it works. In fact I would load the Strings into the Tree class first directly and testing things before even thinking about reading to and from files. Only then should you implement the file input and output steps.
The key here is that you don't go on to the next step until you're reasonably sure that your current code works. Remember, it's MUCH easier to code than to debug.
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