Design A Data Structure To Support The Following Operations

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Design an efficient data structure for given operations ...

    https://www.geeksforgeeks.org/a-data-structure-question/
    Feb 08, 2013 · Design a Data Structure for the following operations. The data structure should be efficient enough to accommodate the operations according to their frequency. 1) findMin() : Returns the minimum item. Frequency: Most frequent 2) findMax() : Returns the maximum item. Frequency: Most frequent 3) deleteMin() : Delete the minimum item.4.4/5

Design a data structure that supports insert, delete ...

    https://www.geeksforgeeks.org/design-a-data-structure-that-supports-insert-delete-search-and-getrandom-in-constant-time/
    Apr 09, 2015 · Design a data structure that supports insert, delete, search and getRandom in constant time. Design a data structure that supports the following operations in θ(1) time. insert(x): Inserts an item x to the data structure if not already present. remove(x): Removes an item x from the data structure if present.3.2/5

Design a datastructure to support stack operations and to ...

    https://stackoverflow.com/questions/2217127/design-a-datastructure-to-support-stack-operations-and-to-find-minimum
    Dec 08, 2017 · Interview question: Design a data structure which has the following features push the data pops the last inserted data [LIFO] Gives the minimum All of the above operations should have a complexit...

Solved: Design a data structure to support the following ...

    https://www.chegg.com/homework-help/design-data-structure-support-following-two-operations-set-s-chapter-17.3-problem-7e-solution-9780070131514-exc
    Design a data structure to support the following two operations for a set S of integers: Insert(S, x) inserts x into set S. Delete-Larger-Half(S) deletes the largest[S/2] elements from S. Explain how to implement this data structure so that any sequence of m operations runs in O(m) time.100%(5)

How would go about you design a data structure to support ...

    https://www.quora.com/How-would-go-about-you-design-a-data-structure-to-support-the-following-operations-in-logarithmic-time-insert-deleteMin-deleteMax-findMin-findMax
    A data structure exists for this: a binary search tree. This is a data structure of the following form: With that, and assuming that a is an ordered type, we can write insert procedure like this: Now that we established the structure of our tree, findMin and findMax are now easy.

LeetCode – Add and Search Word – Data structure design (Java)

    https://www.programcreek.com/2014/05/leetcode-add-and-search-word-data-structure-design-java/
    Two Sum III – Data structure design (Java) Design a Data Structure with Insert, Delete and GetMostFrequent of O(1) LeetCode – Word Search (Java)

data structure – panictank

    http://blog.panictank.net/tag/data-structure/
    Design a data structure to support the following operations: • insert (x,T) – Insert item x into the set T . • delete (k,T) – Delete the kth smallest element from T. • member (x,T) – Return true iff x ∈ T . All operations must take time on an n-element set.

LeetCode – LRU Cache (Java)

    https://www.programcreek.com/2013/03/leetcode-lru-cache-java/
    Design and implement a data structure for Least Recently Used (LRU) cache, which supports get and put. Analysis. The key to solve this problem is using a double linked list which enables us to quickly move nodes. The LRU cache is a hash table of keys and double linked nodes. The hash table makes the time of get() to be O(1).

Data-structures-TADM2E-2 - Algorithm Wiki

    http://www.algorist.com/algowiki/index.php/Data-structures-TADM2E-2
    Design a data structure that allows one to search, insert, and delete an integer $ X $ in $ O(1) $ time (i.e., constant time, independent of the total number of integers stored). Assume that $ 1 \leq X \leq n $ and that there are $ m+n $ units of space available, where $ m $ is the maximum number of integers that can be in the table at any one ...



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