Data Structures and Algorithms

Quick sort's space complexity depends on the recursion stack. In the worst case, it can be O(n).

Merge sort requires O(n) auxiliary space to store the temporary arrays used during the merging process.

A heap is a specialized tree-based data structure that satisfies the heap property: in a max-heap, every node is greater than or equal to its children.

Merge sort is a divide and conquer algorithm that requires auxiliary space proportional to the number of elements being sorted, resulting in O(n) space complexity.

This factor in the technique of indexing and hashing is the time taken to insert a new data item as well as time it takes to update the index structure.

Quick sort is a recursive algorithm. In the worst case (e.g., already sorted array with poor pivot selection), the recursion depth can reach O(n), requiring O(n) stack space.

 According to the way, linked list is accessed, it is linear data structure and according to storage, linked list is a non-linear data structure. Hence this is the answer.

InTree, there is hierarchical relationship as there is parent and child relationship.

Clustering index file consists of entries with two fields - the clustering field value and the block pointer to clustered block of records.

Bubble sort is named for the way smaller (or larger) elements gradually 'bubble' up to their correct position at the end of the list with each pass through the array.