The primary advantage of Merge Sort is that it is a stable sorting algorithm, maintaining the relative order of equal elements.

Quick Sort generally uses less memory than Merge Sort because it sorts in place.

The primary advantage of Quick Sort is its average-case performance of O(n log n), which is better than many other algorithms.

Binary heaps provide O(log n) time complexity for both insertion and deletion of the minimum element, making them efficient for priority queue operations.

A binary tree allows for faster access times for sorted data compared to a linked list, especially for search operations.

Binary trees can grow and shrink dynamically, unlike arrays which have a fixed size.

A circular queue eliminates wasted space by reusing the empty slots created when elements are dequeued, making it more efficient in terms of space.

The primary advantage of a deque is that it allows insertion and deletion from both ends, making it more flexible than a standard queue.

A doubly linked list allows traversal in both directions, making certain operations easier compared to a singly linked list.

Dynamic arrays can automatically resize themselves when they reach capacity, which is a significant advantage over static arrays that have a fixed size.

Linked lists can grow and shrink in size dynamically, unlike arrays which have a fixed size.

A queue operates in FIFO (First In, First Out) order, which is its primary advantage over a stack.

A queue operates on a First-In-First-Out (FIFO) basis, which is its primary advantage over arrays.

A queue operates on the First In First Out principle, which is useful for scheduling and managing tasks.

Red-Black trees generally require fewer rotations during insertions and deletions compared to AVL trees, making them more efficient in practice.

Stacks are advantageous for expression evaluation because they can handle parentheses and operator precedence correctly.

Stacks automatically manage return addresses for function calls, allowing for easy backtracking to the previous state.

A stack operates on a Last In, First Out (LIFO) principle, allowing the most recently added element to be accessed first.

AVL trees maintain a balanced height, which ensures that search operations can be performed in O(log n) time, unlike regular binary search trees which can degrade to O(n) in the worst case.

AVL trees provide faster search times due to their stricter balancing compared to Red-Black trees.

AVL trees maintain a strict balance, ensuring that operations like search, insert, and delete are performed in O(log n) time.

The primary advantage of using balanced trees is that they provide faster access times due to their balanced structure.

Binary search has a time complexity of O(log n), making it significantly faster than linear search, which has a time complexity of O(n), especially for large datasets.

CNNs are designed to capture spatial hierarchies in images, making them highly effective for image processing tasks.

CNNs are specifically designed to process and analyze visual data, making them highly effective for image-related tasks.

The primary advantage of dynamic programming is that it avoids redundant calculations by storing the results of subproblems.

The primary advantage of using dynamic programming is that it avoids redundant calculations by storing the results of subproblems.

Dynamic programming avoids redundant calculations by storing the results of subproblems, making it more efficient than plain recursion.

Dynamic programming avoids redundant calculations by storing the results of subproblems, which makes it more efficient than simple recursion.

Heap Sort has better worst-case performance of O(n log n) compared to Quick Sort's O(n^2) in the worst case.