Table of Contents
Which data structure is best for finding max value?
3 Answers. A hybrid data structure will most likely be best. For efficient lookup by ID a good structure is obviously a hash-table. To support top-100 iteration a max-heap or a binary tree is a good fit.
Which is the best data structure to add and remove elements frequently at rear end of the list?
Probably the best data structure for this purpose would be a deque implemented with a dynamic array, which is basically an ArrayList that starts adding elements to the middle of the internal array instead of the beginning.
How do you implement max stack?
Now to compute the maximum of the main stack at any point, we can simply print the top element of Track stack.
- Step by step explanation :
- Step 1 : Push 4, Current max : 4.
- Step 2 : Push 2, Current max : 4.
- Step 3 : Push 14, Current max : 14.
- Step 4 : Push 1, Current max : 14.
- Step 5 : Push 18, Current max : 18.
What is the data structure that supports the operation of search min or max insert and delete min or max element?
In computer science, a min-max heap is a complete binary tree data structure which combines the usefulness of both a min-heap and a max-heap, that is, it provides constant time retrieval and logarithmic time removal of both the minimum and maximum elements in it.
What is Max stack in data structure?
Given a Stack, keep track of the maximum value in it. The maximum value may be the top element of the stack, but once a new element is pushed or an element is popped from the stack, the maximum element will be now from the rest of the elements.
How is min heap implemented?
How to build a min Heap
- Create a new child node at the end of the heap (last level).
- Add the new key to that node (append it to the array).
- Move the child up until you reach the root node and the heap property is satisfied.