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Data Structure

Brand: chaimob
MPN: com.infoland.data_structure
Category: App (Education)
Price: $0.00
Availability: Available instantly on compatible devices
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Features

  • Learn Data Structure app is for engineering student BE, B-Tech,M-Tech,MCA,BCA,MS to learn data structure in easy way. it cover almost 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., Applications of recursion in problems like ‘Tower of Hanoi’.
  • 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.

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