I am confused in pointer arithmetic, I want to make a tree traversal function, but I am not quite sure about pointer arithmetic to get distant nodes in the tree. It will be a lot more clear when seen in the code, so here it is.
node **root = huffman_tree(probabilities); // I can only return that as a double ptr
Now if I want data from my root node:
printf("%lf", (*root)->data);
If I want data from roots children:
printf("%lf", (*root)->left->data); // or (*root)->right->data
But what if I want to go further in depth search, I dont know how to reach those nodes?
printf("%lf", (*root)->left->left->data); // thats not working
Also, for tree traversal, this is not working: the program crashes.
node **root = huffman_tree(probabailities);
preorder(*root);
void preorder(node *n){
if(n == NULL) return;
printf("%lf", n->data);
preorder(n->left);
preorder(n->right);
}
For the above examples, the program crashes.
Update 1:
It seems like huffman_tree() is indeed returning a tree with corrupted nodes, I must be doing memory allocation for them incorrectly.
The function is passed an array of probabilities, and then obtains steps as it follows:
1) creates nodes with given probabilities (n probabilities --> n new nodes) [works fine]
2) finds the two nodes with lowest probabilities [works fine]
3) creates a new node which is the parent of the two lowest probabilities nodes
4) assign a new node probability equal to the sum of it's children's probabilities
5) repeat from step 2) until there is only one parentless node left
node **huffman_tree(double *probabs){
int num_of_nodes = NUM_OF_SYMBOLS;
int num = NUM_OF_SYMBOLS;
// 1) create nodes for given probabilities
node *leafs = (node*) malloc(num_of_nodes*sizeof(node));
int i;
for(i=0; i<num_of_nodes; i+=1){
node *n = (node *) malloc(sizeof(node));
n->probab = *(probabs + i);
n->symbol = *(SYMBOLS + i);
n->left = NULL;
n->right = NULL;
*(leafs+i) = *n;
//free(n);
}
node **root;
while(num_of_nodes > 1){
// 2) Find the two nodes with lowest probabilities
node *two_mins =(node *)malloc(2*sizeof(node));
two_mins = find_two_mins(leafs, num_of_nodes);
node min_n1 = two_mins[0];
node min_n2 = two_mins[1];
// 3) Create a parent node with probability equals to sum of its children probabilities
// add a parent node to leafs
node *new_node = (node *) malloc(sizeof(node));
new_node->probab = min_n1.probab + min_n2.probab;
new_node->left = &min_n1;
new_node->right = &min_n2;
leafs = add_node(leafs, new_node, num);
num += 1;
leafs = remove_node(leafs, &min_n1, num);
num -= 1;
leafs = remove_node(leafs, &min_n2, num);
num -= 1;
num_of_nodes -= 1;
root = &new_node;
}
return root;
Function add_node() [seems to be working fine]
node *add_node(node *nodes, node *n, int num){
nodes = realloc(nodes, (num+1)*sizeof(node));
nodes[num] = *n;
return nodes;
Function remove_node() [seems to be working fine]
node *remove_node(node *nodes, node *n, int num){
int i;
int index = 0;
for(i=0; i<num; i+=1){
if(nodes_are_equal(nodes[i], *n)) index = i;
}
for(i=index; i<num-1; i+=1){
nodes[i] = nodes[i+1];
}
nodes = realloc(nodes, (num-1)*sizeof(node));
return nodes;
Update 2
I have changed some things in huffman_tree() function.
Function find_two_mins() no longer exists, but it is replaced with two calls of another function find_min(), which finds only one minimum node at a time. Also, this function takes pointer to the dynamically allocated node, and after minimum value is found, returns it back.
node *root;
while(num_of_nodes > 1){
// 2) Find two min nodes
node *min_n1= (node *)malloc(sizeof(node));
node*min_n2= (node *)malloc(sizeof(node));
*min_n1= *find_min(leafs, num, min_n1);
leafs = remove_node(leafs, min_n1, num);
num -= 1;
*min_n2= *find_min(leafs, num, min_n2);
leafs = remove_node(leafs, min_n2, num);
num -= 1;
printf("\nTwo Min Nodes: %lf\t%lf", min_n1->probab, min_n2->probab);
printf("\nSum Of All: %lf", s);
// 3) Create parent node of two min nodes
node *new_node = (node *) malloc(sizeof(node));
new_node->probab= min_n1->probab+ min_n2->probab;
new_node->left = min_n1;
new_node->right = min_n2;
leafs = add_node(leafs, new_node, num);
num += 1;
free(min_n1);
free(min_n2);
num_of_nodes -= 1;
root = new_node;
printf("root=%p\n", root);
printf("*root=%p\n", *root);
}
return root;
And here is the find_min() function:
node *find_min(node *nodes, int num, node *min_node){
double min_probab = nodes[0].probab;
*min_node= nodes[0];
int i;
for(i=0; i<num; i+=1){
if(nodes[i].probab< min_probab){
min_probab = nodes[i].probab;
*min_node = nodes[i];
}
}
return min_node;
It seems like the problem is something about this output:
printf("root=%p\n", root);
printf("*root=%p\n", *root);
Since it outputs "root = 003A17F0" and "*root = 00000000"
Also, I am providing a screenshot of how the program runs, where root values at any point can be seen.
(*root)->left->left->data is the correct way of accessing grand-child nodes, as long as the child is not null, and assuming your node looks something like:
struct node
{
double data;
struct node * left;
struct node * right;
}
Without seeing the full code, it's hard to be sure what's going on here. Your null check in preorder looks good, so I suspect you must be somehow corrupting one of your nodes, and getting an invalid (but non-NULL) pointer in there.
Putting the following immediately after the null check in preorder should make the problem more obvious:
printf("processing node %p", n); fflush(stdout);
printf(" left=%p\n", n->left); fflush(stdout);
printf(" right=%p\n", n->right); fflush(stdout);
You're looking for pointers that don't "look like" the others, particularly just before it crashes.
The most likely causes for problems are within huffman_tree itself. I'd suspect you've got something in there that's taking the address of a node from the stack rather than dynamically allocating it with malloc.
Edit based on additional information supplied in your "answer":
Your problem is probably in your find_two_mins function. The following code
node *two_mins =(node *)malloc(2*sizeof(node));
two_mins = find_two_mins(leafs, num_of_nodes);
node min_n1 = two_mins[0];
node min_n2 = two_mins[1];
is (correctly) dynamically allocating the memory for the nodes, but then you are throwing the pointer to that dynamic memory away and replacing it with the result of find_two_mins.
You've also got some other memory leaks around the place I think (although it's not causing your problem). Within the initial loop,
node *n = (node *) malloc(sizeof(node));
that doesn't get freed. You're copying that struct into the correctly allocated leafs array, so just make that a node n;.
I haven't looked in detail any further than that, so there might be more problems, but let me know where that gets you.
Related
So I need to do a depth first search traversal of a given graph, however if a node in the graph has multiple adjacent neighbours, I need to choose the node with the lowest value to go to. So I implemented the following recursive depth first search function:
void DFS(struct Graph *graph, int vertex) {
struct node *adjList = graph->adjLists[vertex];
struct node *temp = adjList;
graph->visited[vertex] = 1;
printf("Visited %d \n", vertex);
int neighbouring_nodes[graph->numVertices];
while (temp != NULL) {
int count = 0;
struct node *temp_cpy = temp;
while (temp_cpy != NULL) {
neighbouring_nodes[count] = temp_cpy->vertex;
count++;
temp_cpy = temp_cpy->next;
}
int smallest_node = neighbouring_nodes[0];
for (int i = 0; i < count; i++) {
if (neighbouring_nodes[i] < smallest_node) {
smallest_node = neighbouring_nodes[i];
}
}
if (graph->visited[smallest_node] == 0) {
DFS(graph, smallest_node);
} else if (graph->visited[smallest_node] == 1 && count == 1) {
//if the node is visited but is it the only neighbour
DFS(graph, smallest_node);
}
temp = temp->next;
}
}
But when I run my program, it results in an infinite loop. I think I know why I am getting an infinite loop, it might be because there is never a return condition, so the recursive function just keeps running?
Is this type of depth first search possible with a recursive function? If yes, where am I going wrong? If no, how would I do it iteratively?
Help would be much appreciated.
Below is my full program without the DFS function:
// DFS algorithm in C
#include <stdio.h>
#include <stdlib.h>
struct node {
int vertex;
struct node *next;
};
struct node *createNode(int v);
struct Graph {
int numVertices;
int *visited;
struct node **adjLists;
};
// Create a node
struct node *createNode(int v) {
struct node *newNode = malloc(sizeof(struct node));
newNode->vertex = v;
newNode->next = NULL;
return newNode;
}
// Create graph
struct Graph *createGraph(int vertices) {
struct Graph *graph = malloc(sizeof(struct Graph));
graph->numVertices = vertices;
graph->adjLists = malloc(vertices * sizeof(struct node*));
graph->visited = malloc(vertices * sizeof(int));
int i;
for (i = 0; i < vertices; i++) {
graph->adjLists[i] = NULL;
graph->visited[i] = 0;
}
return graph;
}
// Add edge
void addEdge(struct Graph *graph, int src, int dest) {
// Add edge from src to dest
struct node *newNode = createNode(dest);
newNode->next = graph->adjLists[src];
graph->adjLists[src] = newNode;
// Add edge from dest to src
newNode = createNode(src);
newNode->next = graph->adjLists[dest];
graph->adjLists[dest] = newNode;
}
// Print the graph
void printGraph(struct Graph *graph) {
int v;
for (v = 0; v < graph->numVertices; v++) {
struct node *temp = graph->adjLists[v];
printf("\n Adjacency list of vertex %d\n ", v);
while (temp) {
printf("%d -> ", temp->vertex);
temp = temp->next;
}
printf("\n");
}
}
int main() {
struct Graph *graph = createGraph(4);
addEdge(graph, 0, 1);
addEdge(graph, 0, 2);
addEdge(graph, 1, 2);
addEdge(graph, 2, 3);
printGraph(graph);
DFS(graph, 2);
return 0;
}
"if a node in the graph has multiple adjacent neighbours, I need to choose the node with the lowest value to go to."
I assume the 'value' of a node is an attribute of the node object?
Most implementations of DFS will first look at the node with the lowest index in the data structure containing the node objects. So, if you first sort the nodes in your data structure into ascending value order, then the DFS will do what you want without needing to change the DFS code.
Here is what I came up with:
void DFS(struct Graph* graph, int vertex) {
struct node* temp = graph->adjLists[vertex];
graph->visited[vertex] = 1;
printf("Visited %d \n", vertex);
int neighbouring_nodes[graph->numVertices];
int count = 0;
while(temp != NULL) {
neighbouring_nodes[count] = temp->vertex;
count++;
temp = temp->next;
}
int smallest_node = neighbouring_nodes[0];
// Need to search (at most) in every neighbouring node
for (int i = 0; i < count; i++) {
// Go through all nodes in neighbouring_nodes array in order
// to find the smallest unvisited one, if it exists
for (int j = 0; j < count; j++){
// if current smallest_node has already been visited and
// neighbouring_nodes[j] is unvisited, assign it to smallest_node
if (graph->visited[smallest_node] == 1 && graph->visited[neighbouring_nodes[j]] == 0){
smallest_node = neighbouring_nodes[j];
}
// if neighbouring_nodes[j] is smaller than smallest_node,
// assign it to smallest_node
if (graph->visited[neighbouring_nodes[j]] == 0 && neighbouring_nodes[j] < smallest_node){
smallest_node = neighbouring_nodes[j];
}
}
if (graph->visited[smallest_node] == 0){
// calls DFS on the smallest unvisited neighboring node, if it exists
DFS(graph, smallest_node);
}else{
// otherwise (all neighboring nodes already visited)
// return control to the caller function
return;
}
}
}
I'm not 100% sure I understood what you wanted to do with the while (temp != NULL) and while (temp_cpy != NULL) loops but couldn't really figure out a way to use this approach especially in your particular case in which you want to visit the neighboring nodes in ascending order.
Let's assume a simple graph like 6->0->1, calling DFS(g, 0) will get temp to point to 6->1->NULL (could be also 1->6->NULL, depending on how you construct the graph), then smallest_node will be 1 and therefore the node 1 will be visited and the temp = temp->next will "assign" 1->NULL to temp. Back to the beginning of the loop, now temp_cpy will "be equal" to temp, hence 1->NULL. The node 6 is not on the list anymore even if it was not visited, on the other hand the already visited node 1 is still there. Also count is now equal to 1 therefore the condition (graph->visited[smallest_node] == 1 && count == 1) is met and DFS(g, 1) is called, which should not since node 1 was already visited. The infinite loop arises from this, since the previous condition is always met when temp has one (already visited) element left ([some value]->NULL). Once you reach that point you always call DFS(g, [some value]) and this will never give back control, since before reaching the temp = temp->next statement (which should assign NULL to temp , hence ending the while loop), DFS(g, [some other value]) is again called, which at some point will again call DFS(g, [some value]), and so forth.
As mentioned, one problem your original code has is that you call the DFS function also for an already visited vertex, and this should never be the case. When you encounter an already visited neighboring vertex, you want either to check the next or, if there are no unvisited neighboring vertices left, to give back control to the caller function. Therefore the last if else statement should not be there. The second problem is that smallest_node is selected in the wrong way. This is because temp_cpy, as explained above, is not constructed in such a way that it necessarily contains all unvisited neighboring nodes and also because you're actually looking for the smallest element in this list, regardless if it has already been visited or not (again because of the assumption that temp_cpy contains only all unvisited nodes). In fact you should be looking for the "smallest unvisited node" rather than the "smallest node".
In my code I go through all neighboring nodes with two for loops, find the smallest unvisited one and call DFS(g, [smallest unvisited node]) and once there are no unvisited neighbors left, return control back to the caller function.
I Hope this is somewhat understandable and I also hope I'm not missing something about what you had in mind with your implementation, in which case I would be very much interested in some explanations!
Here is a simpler version of the DFS in which neighboring nodes are checked and eventually visited in the order they're presented in the adjList. In this case I think the while (temp != NULL)/temp = temp->next approach makes sense:
void DFS(struct Graph *graph, int vertex) {
struct node *temp = graph->adjLists[vertex];
graph->visited[vertex] = 1;
printf("Visited %d \n", vertex);
// for vertex search in every neighboring node
while (temp != NULL) {
// if neighboring vertex temp->vertex not visited, then search there
if (graph->visited[temp->vertex] == 0) {
DFS(graph, temp->vertex);
// if already visited, go to the next vertex on the neighbors list
}else{
temp = temp->next;
}
}
// when searched in all neighboring vertexes return control to caller
return;
}
I am trying to accomplish a function that grows a linked list while also putting them in ascending order at the same time, I have been stuck for a while and gained little progress. I believe my insertLLInOrder is correct it's just the createlinkedList that is messing it up.
Sometimes my output comes out fully and other times it only prints out some of the list.
Anything helps!
#include <stdio.h>
#include <time.h>
#include <stdlib.h>
typedef struct node {
int data;
struct node *next;
} node;
node *createlinkedList(int num);
node *insertLLInOrder(node * h, node * n);
void display(node * head);
int randomVal(int min, int max);
int
main()
{
int usernum = 0;
node *HEAD = NULL;
printf("How many Nodes do you want? ");
scanf("%d", &usernum);
srand(time(0));
HEAD = createlinkedList(usernum);
display(HEAD);
return 0;
}
node *
createlinkedList(int num)
{
int i;
int n = num;
node *head = NULL;
node *newNode;
node *temp;
for (i = 0; i < n; i++) {
newNode = (node *) malloc(sizeof(node));
newNode->next = NULL;
newNode->data = randomVal(1, 9);
temp = insertLLInOrder(head, newNode);
head = temp;
}
return head;
}
int
randomVal(int min, int max)
{
return min + (rand() % (max - min)) + 1;
}
node *
insertLLInOrder(node * h, node * n)
{
//h is the head pointer, n is the pointer to new node
node *ptr = h;
node *previous = NULL;
while ((ptr != NULL) && (ptr->data < n->data)) {
previous = ptr; // remember previous node
ptr = ptr->next; // check for the next node
}
if (previous == NULL) {
//h is an empty list initially
n->next = NULL;
return n; // return the pointer of the new node
}
else {
//if there are nodes in the linked list
// previous will point to the node that has largest value, but smaller than new node
n->next = previous->next; // insert new node between previous, and previous->next
previous->next = n;
return h; // return old head pointer
}
}
void
display(node * head)
{
node *p = head;
while (p != NULL) {
printf("%d, ", p->data);
p = p->next;
}
}
Obviously in your insertLLInOrder() if the first while loop gives previous == NULL it means that you must insert at list head, which is not what your are doing.
Just change n->next = NULL; to n->next = h; and it should improve behavior.
Taking a step back and perspective
This is a very simple error, but it is made harder to spot because of the way you wrote your code.
The bug in itself is not very interesting, but it can help to get a higher perspective on why it happened and how to avoid such bugs.
And, no, running a debugger is not very helpful for such cases!
Having to run a debugger happens sometimes, but it merely means that you have lost the control of your program. Like having a parachute can be a safety mesure for a pilot, but if he has to use it, it also means that the pilot lost control and his plane is crashing.
Do you know the story of the Three Ninjas Programmers?
The three Ninjas
The chief of ninjas orders three Ninja to show him their training level. There is a Noob, a Beginner and a Senior. He asks them to reach a small cabin, on the other side of a field, take some object inside and come back.
The first Ninja is a noob, he runs and jumps across the field with all his speed but soon enough he walks on a (plaster) mine. He goes back at the start line and confesses his failure, which is obvious because his previously black shirt is now covered by white plaster.
The second Ninja shows some practice. You can tell he failed like the Noob on a previous try and that now he is wary. He is very slow and very careful. He sneaks very slowly across the field watching closely everywhere at each step. He gets quite close to the cabin, and everybody believes he will succeed, but eventually, he is also blown by a mine at the last second. He also goes back disappointed to the starting point, but he somehow believes it will be hard for the third Ninja to do any better.
The third Ninja is a Senior. He walks calmly across the field in a straight line, enter the cabin, and goes back without any visible trouble, still merely walking across the field.
When he gets back to the starting point the other two Ninjas are stunned and ask him eagerly:
- How did you avoid the mines?
- Obviously, I didn't put any mines on my path in the first place; why did you put mines in yours?
Back to the code
So, what could be done differently when writing such a program?
First using random values in code is a bad idea. The consequence is that the code behavior can't be repeated from one run to the next one.
It is also important that the code clearly separate user inputs (data) and code manipulating that data.
In that case, it means that the createLinkedList() function should probably have another signature. Probably something like node *createlinkedList(int num, int data[]) where the data[] array will contains values to sort. It is still possible to fill input data with random values if it is what we want.
That way, we can easily create tests set and unit tests, like in code below:
Home made unit tests suite
#include <stdio.h>
#include <stdlib.h>
typedef struct node {
int data;
struct node *next;
} node;
node *createlinkedList(int num, int * data);
node *insertLLInOrder(node * h, node * n);
/* No need to have a test framework to write unit tests */
/* Check_LL is some helper function comparing a linked list with test data from an array */
int check_LL(node * head, int num, int * data)
{
node *p = head;
int n = 0;
for (; n < num ; n++){
if (!p){return 0;}
if (p->data != data[n]){return 0;}
p = p->next;
}
return p == NULL;
}
void test_single_node()
{
printf("Running Test %s: ", __FUNCTION__);
int input_data[1] = {1};
int expected[1] = {1};
node * HEAD = createlinkedList(1, input_data);
printf("%s\n", check_LL(HEAD, 1, expected)?"PASSED":"FAILED");
}
void test_insert_after()
{
printf("Running Test %s: ", __FUNCTION__);
int input_data[2] = {1, 2};
int expected[2] = {1, 2};
node * HEAD = createlinkedList(2, input_data);
printf("%s\n", check_LL(HEAD, 2, expected)?"PASSED":"FAILED");
}
void test_insert_before()
{
printf("Running Test %s: ", __FUNCTION__);
int input_data[2] = {2, 1};
int expected[2] = {1, 2};
node * HEAD = createlinkedList(2, input_data);
printf("%s\n", check_LL(HEAD, 2, expected)?"PASSED":"FAILED");
}
/* We could leave test code in program and have a --test command line option to call the code */
int
main()
{
test_single_node();
test_insert_after();
test_insert_before();
}
node *
createlinkedList(int num, int * data)
{
int i;
node *head = NULL;
for (i = 0; i < num; i++) {
node * newNode = (node *) malloc(sizeof(node));
newNode->next = NULL;
newNode->data = data[i];
head = insertLLInOrder(head, newNode);
}
return head;
}
node *
insertLLInOrder(node * h, node * n)
{
//h is the head pointer, n is the pointer to new node
node *ptr = h;
node *previous = NULL;
while ((ptr != NULL) && (ptr->data < n->data)) {
previous = ptr; // remember previous node
ptr = ptr->next; // check for the next node
}
if (previous == NULL) {
//h is an empty list initially
n->next = NULL;
return n; // return the pointer of the new node
}
else {
//if there are nodes in the linked list
// previous will point to the node that has largest value, but smaller than new node
n->next = previous->next; // insert new node between previous, and previous->next
previous->next = n;
return h; // return old head pointer
}
}
As you can see the third test spot the bug.
Of course, you could use some available third party Unit Test library, but the most important point is not the test library, but to write the tests.
Another point is that really you should interleave writing tests and writing implementation code.
This typically helps for writing good code and is what people call TDD. But my answer is probably already long enough, so I won't elaborate here on TDD.
I have a linked list, I guess a tree looks like this:
-> grandma
-> dad
-> me
-> sister
-> niece
-> brother
-> uncle
-> cousin
and I have a struct as following
struct Node{
Node *parent;
Node *next;
Node *child;
}
How would I free that linked list?
My idea is to do a depth first search and deallocate each node?
Recursive depth-search (DFS): You're right, it's a good way to dealocate binary-tree memory:
remove(node):
if node is null: return
//else
remove(left node)
remove(right node)
free(node)
Iterative solution:
https://codegolf.stackexchange.com/questions/478/free-a-binary-tree
Since you don't want to use any recursive solution, there you can find well-described iterative one.
You can optimize allocation/deallocation of the tree.
Imagine, you want to create tree with 20 or 30 persons. You can allocate an array of 30 Node structs:
size_t currentArraySize = 30;
Node* nodes = (Node*)malloc(currentArraySize * sizeof(Node));
size_t nextFreeIndex = 0;
To add new element you can write simple function:
Node* allocateNode()
{
// Oops! There's not more memory in the buffer.
// Lets increase its size.
if (nextFreeIndex >= currentArraySize) {
currentArraySize *= 2;
Node* newNodes = (Node*)realloc(nodes, currentArraySize * sizeof(Node));
// Should correct pointers (thanks to user3386109)
if (newNodes != nodes) {
for (size_t i = 0; i < nextFreeIndex; i++) {
if (newNodes[i]->parent != NULL)
newNodes[i]->parent -= nodes += newNodes;
if (newNodes[i]->next != NULL)
newNodes[i]->next -= nodes += newNodes;
if (newNodes[i]->child != NULL)
newNodes[i]->child -= nodes += newNodes;
}
}
}
return nodes[nextFreeIndex++];
}
To deallocate all nodes you can just free the single pointer nodes.
Now the code looks a little scary as wrote user3386109, so we may simplify it a little:
Node* allocateNode()
{
// Oops! There's not more memory in the buffer.
// Lets increase its size.
if (nextFreeIndex >= currentArraySize) {
currentArraySize *= 2;
Node* newNodes = (Node*)realloc(nodes, currentArraySize * sizeof(Node));
// Should correct pointers (thanks to user3386109)
if (newNodes != nodes)
correctPointers(newNodes, nodes);
}
return nodes[nextFreeIndex++];
}
#define correctPointer(pointer, oldOffset, newOffset) if (pointer != NULL) { \\
pointer -= oldOffset; \\
pointer += newOffset; \\
}
void correctPointers(Node* newNodes, Node* nodes)
{
for (size_t i = 0; i < nextFreeIndex; i++) {
correntPointer(newNodes[i]->parent, nodes, newNodes);
correntPointer(newNodes[i]->child, nodes, newNodes);
correntPointer(newNodes[i]->next, nodes, newNodes);
}
}
Iterative version, inspired by Day–Stout–Warren algorithm:
void removetree(Node *node)
{
while(node != NULL)
{
Node *temp = node;
if(node->child != NULL)
{
node = node->child;
temp->child = node->next;
node->next = temp;
}
else
{
node = node->next;
remove(temp);
}
}
}
This algorithm somewhat like tries to convert the tree into a list single-linked with next pointers, which is very simple to destroy just by iterative unlinking and destroying the first item. However it never completes the conversion, because it unlinks and removes the head node as soon as it can, despite the rest of tree not being converted yet. So to say, it interleaves a relink step with unlink-and-destroy step.
We test with the if instruction whether the first (head) node has any children. If so, we make its child a new head and the current node becomes the new head's next node. This way we have one more next link in the first-level list. What was 'next' to the now-head node becomes a child to a previous-head node, which is now the head's first next.
On the other hand if the head node has no children, it may be removed and its next becomes a new head.
These two steps are iterated by the while loop until all children are converted into siblings and removed afterwards.
You may use recursive solution
free(root)
{
if (root->next == null)
{
free(node)
}
free(root->left)
free(right->)
}
This is homework for my first class in c. It focuses on dynamic allocation in c, in the form of a bst.
I have to have a dynamically allocated BST, recursively implemented. I know that my traversal works correctly, and am having trouble inserting nodes. I only ever have the root node, and every other node seems to be set to NULL. I think that I can't print the rest of the nodes when traversing, because I am trying to access the data member of a NULL struct. My code so far is as follows:
void insert_node(TreeNode** root, int toInsert){
if(*root==NULL){
TreeNode *newnode = (TreeNode *)malloc(sizeof(TreeNode));
newnode->data = toInsert;
newnode->left = NULL;
newnode->right = NULL;
}
else if(toInsert > (*root)->data){ //if toInsert greater than current
struct TreeNode **temp = (TreeNode **)malloc(sizeof(struct TreeNode*));
*temp = (*root)->right;
insert_node(temp, toInsert);
}
else{ //if toInsert is less than or equal to current
struct TreeNode **temp = (TreeNode **)malloc(sizeof(struct TreeNode*));
*temp = (*root)->left;
insert_node(temp, toInsert);
}
}
void build_tree(TreeNode** root, const int elements[], const int count){
if(count > 0){
TreeNode *newroot = (TreeNode *)malloc(sizeof(TreeNode));
newroot->data = elements[0];
newroot->left = NULL;
newroot->right = NULL;
*root = newroot;
for(int i = 1; i < count; i++){
insert_node(root, elements[i]);
}
}
I'm sure it's only one of many problems, but I get segmentation faults on any line that uses "(*root)->data", and I'm not sure why.
As a side note, despite getting segmentation faults for the "(*root)->data" lines, I'm still able to printf "(*root)->data". How is it possible to print the value, but still get a segmentation fault?
It's messy. Some things that might help
1) Don't need to use TreeNode*, pointer to pointer, as argument. Use jsut the TreeNode. (something went wrong here, as it's some feature from the text editor, consider and additional * after each TreeNode in this line)
2) Not a strict rule, but as best practice avoid using the first node of a linked list to store actual values. Use just as the header of your list. Reason is, if you need to delete this node, you don't lose the list. Just a tip
3) In your first function, if *root==NULL, I'd rather make the function fail than adding it to a temporary list (that's being lost in the current code, see that it adds the value to a list that is not being passed outside the function.
4) Well, you are actually making it go to the right if the new value is greater than the node, to the left if it's smaller than the node, but it never stops. See this example:
Suppose you have the list 1->3->4. Now you want to insert 2. What the algorithm will do? keep trying to insert in the 1 node and 3 node, switching between them, but never actually inserting anything.
Solution: as you will build this list bottom up, your list will always be sorted (inf you insert nodes correctly). So you just need to check if the next node is higher, and if it is, insert right where you are.
5) If you're passing a TreeNode *root as argument (on the 2nd function), you shouldn't have to recreate a new list and make root=newlist. Just use the root.
All of this would result in (didn't test, might be some errors):
void insert_node(TreeNode* root, int toInsert){
if(root==NULL){
printf("Error");
return;
}
TreeNode* temp = root; //I just don't like to mess with the original list, rather do this
if(temp->right!=NULL && toInsert > temp->right->data){ //if toInsert greater than next
insert_node(temp->right, toInsert);
}
else{ //if toInsert is less or equal than next node
TreeNode* temp2 = temp->right; //grabbing the list after this node
temp->right=(TreeNode*)malloc(sizeof(TreeNode)); //making room for the new node
temp->right->right=temp2; //putting the pointer to the right position
temp->right->left=temp; //setting the left of the next node to the current
temp->right->data=toInsert;
}
}
void build_tree(TreeNode* root, const int elements[], const int count){
if(count > 0){
for(int i = 0; i < count; i++){
insert_node(root, elements[i]);
}
}
}
Why are the split lists always empty in this program? (It is derived from the code on the Wikipedia page on Linked Lists.)
/*
Example program from wikipedia linked list article
Modified to find nth node and to split the list
*/
#include <stdio.h>
#include <stdlib.h>
typedef struct ns
{
int data;
struct ns *next; /* pointer to next element in list */
} node;
node *list_add(node **p, int i)
{
node *n = (node *)malloc(sizeof(node));
if (n == NULL)
return NULL;
n->next = *p; //* the previous element (*p) now becomes the "next" element */
*p = n; //* add new empty element to the front (head) of the list */
n->data = i;
return *p;
}
void list_print(node *n)
{
int i=0;
if (n == NULL)
{
printf("list is empty\n");
}
while (n != NULL)
{
printf("Value at node #%d = %d\n", i, n->data);
n = n->next;
i++;
}
}
node *list_nth(node *head, int index) {
node *current = head;
node *temp=NULL;
int count = 0; // the index of the node we're currently looking at
while (current != NULL) {
if (count == index)
temp = current;
count++;
current = current->next;
}
return temp;
}
/*
This function is to split a linked list:
Return a list with nodes starting from index 'int ind' and
step the index by 'int step' until the end of list.
*/
node *list_split(node *head, int ind, int step) {
node *current = head;
node *temp=NULL;
int count = ind; // the index of the node we're currently looking at
temp = list_nth(current, ind);
while (current != NULL) {
count = count+step;
temp->next = list_nth(head, count);
current = current->next;
}
return temp; /* return the final stepped list */
}
int main(void)
{
node *n = NULL, *list1=NULL, *list2=NULL, *list3=NULL, *list4=NULL;
int i;
/* List with 30 nodes */
for(i=0;i<=30;i++){
list_add(&n, i);
}
list_print(n);
/* Get 1th, 5th, 9th, 13th, 18th ... nodes of n etc */
list1 = list_split(n, 1, 4);
list_print(list1);
list2 = list_split(n, 2, 4); /* 2, 6, 10, 14 etc */
list_print(list2);
list3 = list_split(n, 3, 4); /* 3, 7, 11, 15 etc */
list_print(list3);
list3 = list_split(n, 4, 4); /* 4, 8, 12, 16 etc */
list_print(list4);
getch();
return 0;
}
temp = list_nth(current, ind);
while (current != NULL) {
count = count+step;
temp->next = list_nth(head, count);
current = current->next;
}
You are finding the correct item to begin the split at, but look at what happens to temp from then on ... you only ever assign to temp->next.
You need to keep track of both the head of your split list and the tail where you are inserting new items.
The program, actually, has more than one problem.
Indexes are not a native way to address linked list content. Normally, pointers to nodes or iterators (which are disguised pointers to nodes) are used. With indexes, accessing a node has linear complexity (O(n)) instead of constant O(1).
Note that list_nth returns a pointer to a "live" node within a list, not a copy. By assigning to temp->next in list_split, you are rewiring the original list instead of creating a new one (but maybe it's intentional?)
Within list_split, temp is never advanced, so the loop just keeps attaching nodes to the head instead of to the tail.
Due to use of list_nth for finding nodes by iterating through the whole list from the beginning, list_split has quadratic time (O(n**2)) instead of linear time. It's better to rewrite the function to iterate through the list once and copy (or re-attach) required nodes as it passes them, instead of calling list_nth. Or, you can write current = list_nth(current, step).
[EDIT] Forgot to mention. Since you are rewiring the original list, writing list_nth(head, count) is incorrect: it will be travelling the "short-cirquited" list, not the unmodified one.
I also notice that it looks like you are skipping the first record in the list when you are calculating list_nth. Remember is C we normally start counting at zero.
Draw out a Linked List diagram and follow your logic:
[0]->[1]->[2]->[3]->[4]->[5]->[6]->[7]->[8]->[9]->...->[10]->[NULL]
Your description of what list_split is supposed to return is pretty clear, but it's not clear what is supposed to happen, if anything, to the original list. Assuming it's not supposed to change:
node *list_split(node *head, int ind, int step) {
node *current = head;
node *newlist=NULL;
node **end = &newlist;
node *temp = list_nth(current, ind);
while (temp != NULL) {
*end = (node *)malloc(sizeof(node));
if (*end == NULL) return NULL;
(*end)->data = temp->data;
end = &((*end)->next);
temp = list_nth(temp, step);
}
return newlist; /* return the final stepped list */
}
(You probably want to factor a list_insert routine out of that that inserts a new
node at a given location. list_add isn't very useful since it always adds to the
beginning of the list.)