linked-list

I'm working on a simple linked list implementation in golang for learning purposes. The definition of an element is below: type Element struct { next, prev *Element Value interface{} } As you can see, the Value can be anything that satisfies the empty interface. Now, as a new feature, I would like to make it so that when you insert a new element into the list, it inserts it in a sorted manner - each element will be <= the next. In order to do this, I wrote the following method: func (l *LinkedList) Add(val interface{}) *Element { this := &l.Root e := Element{Value: val} for { if this.next

On a quest to expand my programming prowess, I've delved ever-so-slightly into The Standard PHP Library . This led to my discovery of the SplDoublyLinkedList class. From there I read the descriptions of Linked Lists and Doubly Linked Lists on Wikipedia. I understand how they work... But I cannot conceive of a reason WHY we need it—or better yet a practical example of SplDoublyLinkedList since we have indexed and associative arrays in PHP. How are Linked Lists normally used in-and-out of PHP? The SPL data structures reduce memory consumption and improve performance. Good explanations: Data

I've been tryin for a while but i cant figure out how to make the program below take N as input and generate an M in order that the last soldier that dies is the 13th(N>13); int main() { int N, M; struct node { int player_id; struct node *next; }; struct node *p, *q; int i, count; printf("Enter N (number of players): "); scanf("%d", &N); printf("Enter M (every M-th payer gets eliminated): "); scanf("%d", &M); // Create circular linked list containing all the players: p = q = malloc(sizeof(struct node)); p->player_id = 1; for (i = 2; i <= N; ++i) { p->next = malloc(sizeof(struct node)); p = p-

Closed. This question is off-topic . It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 4 years ago . I have two array like this. String[] arr1 = { "1", "2", "3" }; String[] arr2 = { "111", "222", "333", "444", "555", "666", "777", "888", "999" }; I want to merge these two array using combination of index value. My input will be two integer value (2:3 ratio), like this int firstArray = 2; //input value int secondArray = 4; //input value After merge all value will be stored in single list. Now i need output like

I am trying to delete the last Node of a linked list, I have the first element of the list. But the function does not work I would be happy if you could help me Code - void deleteNode(Node* firstNode) { Node* currNode = firstNode; while (currNode->next != NULL) { currNode = currNode->next; } delete currNode->next; currNode->next = NULL; } You are deleting the one after the last node, which should be NULL anyways. void deleteNode(Node* firstNode) { //first check if firstNode is NULL or last node. if(firstNode == NULL) return; if(firstNode->next == NULL) { delete firstNode; firstNode = NULL;

I have a linked_list and currently my destructor is not working properly. Not entirely sure why. Can somebody explain me how to solve this? class linked_list { private: struct node { // String in this node std::string data; // Pointer to next node struct node *next; }; //First item in the list struct node *first; Here is my destructor linked_list::~linked_list(void) { while (first) { delete first; first = first->next; } } The problem lies here: delete first; first = first->next; When you delete first , but then try to access first->next . Cache first->next into a temp variable of type node* ,

I need a data structure that is ordered but also gives fast random access and inserts and removes. Linkedlists are ordered and fast in inserts and removes but they give slow random access. Hashtables give fast random access but are not ordered. So, it seems to nice to use both of them together. In my current solution, my Hashtable includes iterators of the list and the List contains the actual items. Nice and effective. Okay, it requires double the memory but that's not an issue. I have heard that some tree structures could do this also, but are they as fast as this solution? The most