Data Structure Interview Questions
Data Structure Interview Questions APK
1.0.3 ․ 6 years agoFree ․ Engineering Hub ⇣ Download APK (7.25 MB)
It is for computer science engineering student to learn data structure questions
What's Data Structure Interview Questions APK?
Data Structure Interview Questions is a app for Android, It's developed by Engineering Hub author.
First released on google play in 8 years ago and latest version released in 6 years ago.
This app has 1 download times on Google play and rated as 3.17 stars with 12 rated times.
This product is an app in Education category. More infomartion of Data Structure Interview Questions on google play
This app contains to basic concept of data structure by using this app student can take advantage in their exams, interview & competitive exams preparation. it cover to all most all Questions from all topics given below.
Introduction: Basic Terminology, Elementary Data Organization, Structure operations, Algorithm
Complexity and Time-Space trade-off.
Arrays: Array Definition, Representation and Analysis, Single and Multidimensional Arrays, address
calculation, application of arrays, Character String in C, Character string operation, Array as Parameters,
Ordered List, Sparse Matrices and Vectors.
Stacks: Array Representation and Implementation of stack, Operations on Stacks: Push & Pop, Array
Representation of Stack, Linked Representation of Stack, Operations Associated with Stacks, Application
of stack: Conversion of Infix to Prefix and Postfix Expressions, Evaluation of postfix expression using
stack.
Queues: Array and linked representation and implementation of queues, Operations on Queue: Create,
Add, Delete, Full and Empty, Circular queues, D-queues and Priority Queues.
Linked list: Representation and Implementation of Singly Linked Lists, Two-way Header List, Traversing
and Searching of Linked List, Overflow and Underflow, Insertion and deletion to/from Linked Lists,
Insertion and deletion Algorithms, Doubly linked list, Linked List in Array, Polynomial representation and
addition, Generalized linked list, Garbage Collection and Compaction.
Trees: Basic terminology, Binary Trees, Binary tree representation, algebraic Expressions, Complete
Binary Tree, Extended Binary Trees, Array and Linked Representation of Binary trees, Traversing Binary
trees, Threaded Binary trees, Traversing Threaded Binary trees, Huffman algorithm.
Searching and Hashing: Sequential search, binary search, comparison and analysis, Hash Table, Hash
Functions, Collision Resolution Strategies, Hash Table Implementation.
Sorting: Insertion Sort, Bubble Sorting, Quick Sort, Two Way Merge Sort, Heap Sort, Sorting on Different
Keys, Practical consideration for Internal Sorting.
Binary Search Trees: Binary Search Tree (BST), Insertion and Deletion in BST, Complexity of Search
Algorithm, Path Length, AVL Trees, B-trees.
Graphs: Terminology & Representations, Graphs & Multi-graphs, Directed Graphs, Sequential
Representations of Graphs, Adjacency Matrices, Traversal, Connected Component and Spanning Trees,
Minimum Cost Spanning Trees.
File Structures: Physical Storage Media File Organization, Organization of records into Blocks,
Sequential Files, Indexing and Hashing, Primary indices, Secondary indices, B+ Tree index Files, B Tree
index Files, Indexing and Hashing Comparisons.
Introduction: Basic Terminology, Elementary Data Organization, Structure operations, Algorithm
Complexity and Time-Space trade-off.
Arrays: Array Definition, Representation and Analysis, Single and Multidimensional Arrays, address
calculation, application of arrays, Character String in C, Character string operation, Array as Parameters,
Ordered List, Sparse Matrices and Vectors.
Stacks: Array Representation and Implementation of stack, Operations on Stacks: Push & Pop, Array
Representation of Stack, Linked Representation of Stack, Operations Associated with Stacks, Application
of stack: Conversion of Infix to Prefix and Postfix Expressions, Evaluation of postfix expression using
stack.
Queues: Array and linked representation and implementation of queues, Operations on Queue: Create,
Add, Delete, Full and Empty, Circular queues, D-queues and Priority Queues.
Linked list: Representation and Implementation of Singly Linked Lists, Two-way Header List, Traversing
and Searching of Linked List, Overflow and Underflow, Insertion and deletion to/from Linked Lists,
Insertion and deletion Algorithms, Doubly linked list, Linked List in Array, Polynomial representation and
addition, Generalized linked list, Garbage Collection and Compaction.
Trees: Basic terminology, Binary Trees, Binary tree representation, algebraic Expressions, Complete
Binary Tree, Extended Binary Trees, Array and Linked Representation of Binary trees, Traversing Binary
trees, Threaded Binary trees, Traversing Threaded Binary trees, Huffman algorithm.
Searching and Hashing: Sequential search, binary search, comparison and analysis, Hash Table, Hash
Functions, Collision Resolution Strategies, Hash Table Implementation.
Sorting: Insertion Sort, Bubble Sorting, Quick Sort, Two Way Merge Sort, Heap Sort, Sorting on Different
Keys, Practical consideration for Internal Sorting.
Binary Search Trees: Binary Search Tree (BST), Insertion and Deletion in BST, Complexity of Search
Algorithm, Path Length, AVL Trees, B-trees.
Graphs: Terminology & Representations, Graphs & Multi-graphs, Directed Graphs, Sequential
Representations of Graphs, Adjacency Matrices, Traversal, Connected Component and Spanning Trees,
Minimum Cost Spanning Trees.
File Structures: Physical Storage Media File Organization, Organization of records into Blocks,
Sequential Files, Indexing and Hashing, Primary indices, Secondary indices, B+ Tree index Files, B Tree
index Files, Indexing and Hashing Comparisons.
