5 Questions
Match the following data structures with their applications:
Arrays = Representation of arrays (multidimensional) Linked Lists = Application (Sparse Matrix, Associative Array, Functional Programming) Stack = Application (Tower of Hanoi, Function Call and return, Parentheses Matching, Back-tracking, Expression Evaluation) Tree = Application: Arithmetic Expressions Evaluation
Match the following data structure operations with their corresponding data structures:
Pruning, Grafting = Tree Address calculation using column and row major ordering = Arrays Doubly linked list, Circular linked list, unrolled linked list, skip-lists, Splices, Sentinel nodes = Linked Lists de-queue, en-queue, priority queue, bounded queue = Queue
Match the following algorithm concepts with their definitions:
Complexity Measures and Notations = Analysis of algorithm Threaded Binary Tree, AVL = Variations: Indexed Binary Tree Definition, Implementation, Operation, Application, Algorithm writing and convention = Data Structure Traversal (Pre, In, Post &Levelorder) = Binary trees
Match the following applications with their corresponding data structures:
Arithmetic Expressions Evaluation = Tree Sparse matrix, Associative Array, Functional Programming = Linked Lists Tower of Hanoi, Function Call and return, Parentheses Matching, Back-tracking, Expression Evaluation = Stack Variations: Indexed Binary Tree, Threaded Binary Tree, AVL = Tree
Match the following types of binary trees with their characteristics:
Full, Complete, Almost complete = Binary trees Binary Search Tree = Tree Indexed Binary Tree = Tree Threaded Binary Tree, AVL = Variations: Indexed Binary Tree
Test your knowledge of data structures with this comprehensive quiz. Explore the definition, implementation, operations, and applications of data structures, as well as algorithm writing and conventions. Dive into array representation, address calculation, and sparse matrices, and then move on to linked lists, including doubly linked lists, circular linked lists, unrolled linked lists, skip-lists, splices, and more. Brush up on analysis of algorithms, complexity measures, and notations.
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