Explanation: In a binary tree, each node can have a maximum of two children.

Explanation: The main advantage of BFS over DFS is that it can find the shortest path in unweighted graphs.

Explanation: A Hamiltonian Path is a path in a graph that visits all vertices exactly once without revisiting any vertex.

Explanation: Radix Sort has a time complexity of O(n) in the best case when the number of digits in the keys is relatively small and constant.

Explanation: A Binary Search Tree (BST) offers efficient searching with O(log n) time complexity on average for balanced trees.

Explanation: Dijkstra's Algorithm is used to find the shortest path in a weighted graph.

Explanation: In a min-heap, the left child node is smaller than the right child node.

Explanation: Binary Search divides the search interval in half at each step, making it efficient for sorted arrays.

Explanation: A Linked List is commonly used to implement a queue in computer science due to its efficient insertion and removal of elements.

Explanation: A Binary Heap is a suitable data structure for implementing a priority queue due to its efficient insertion and removal of the highest-priority element.

Explanation: Bubble Sort has a worst-case time complexity of O(n^2) but is commonly used for its simplicity and ease of implementation.

Explanation: The best-known sorting algorithms, like Merge Sort and Heap Sort, have a time complexity of O(n log n) in the worst case.

Explanation: The worst-case time complexity of Quick Sort is O(n^2), but it is typically O(n log n) on average.

Explanation: A Stack follows the Last-In-First-Out (LIFO) principle, where the last element added is the first to be removed.

Explanation: A Stack data structure is often used to implement recursion in programming to manage function calls and memory.

Explanation: Merge Sort is known for its stability because it maintains the relative order of equal elements.

Explanation: In a binary search tree (BST), the value of a node with respect to its left and right subtrees is called its key value.

Explanation: An isolated vertex in a graph has no incoming edges, meaning it is not connected to any other vertex.

Explanation: The primary advantage of a self-balancing binary search tree (BST) is that it guarantees a balanced tree structure, preventing degenerate cases and maintaining efficient search operations.

Explanation: A Deque (Double-ended queue) allows for efficient insertion and deletion of elements from both ends.

Explanation: Dynamic programming in algorithm design is primarily used to optimize algorithms by solving subproblems only once and storing their solutions for reuse.

Explanation: The primary purpose of time complexity analysis is to assess the efficiency of an algorithm in terms of its input size.

Explanation: The primary purpose of a collision resolution technique in a hash table is to resolve conflicts that occur when multiple keys hash to the same index.

Explanation: The hash function in a hash table is used to map keys to specific table indices for efficient storage and retrieval.

Explanation: The primary purpose of an adjacency matrix in graph representation is to store information about the connectivity between vertices.