A data structure is a particular way of organizing data in a computer so that it can be used efficiently. There are many different data structures, each with its own advantages and disadvantages. Some common data structures are arrays, lists, stacks, queues, and trees.

An algorithm is a set of instructions that tells a computer how to solve a problem. There are many different algorithms, each with its own advantages and disadvantages. Some common algorithms are sorting algorithms, searching algorithms, and graph algorithms.

In this article, we will show you how to download **Data Structure and Algorithm For PC ** in a step-by-step manner. Let’s take a look at **Data Structure and Algorithm** technical specifications first.

Contents

## Data Structure and Algorithm Andorid App Summary

Engineering Apps is the developer of this Data Structure and Algorithm application. It is listed under the Education category in the Play Store. There are currently more than 25844+ users of this app. The Data Structure and Algorithm app rating is currently 7.

It was last updated on Apr 23, 2019. Since the app cannot be used directly on PC, you must use any Android emulator such as BlueStacks Emulator, Memu Emulator, Nox Player Emulator, etc. We have discussed how to run this app on your PC, mac, or Windows with this emulator in this article.

## Features of Data Structure and Algorithm for PC

lists

42. Doubly linked lists

43. Circular linked lists

44. The algorithms for manipulating linked lists

45. Tree data structures

46. Binary trees

47. The height of a binary tree

48. The path length of a binary tree

49. The maximum path length of a binary tree

50. The minimum path length of a binary tree

51. The tree traversal algorithms

52. The tree search algorithms

53. The AVL tree

54. The red-black tree

55. The heap

56. The disjoint-set data structure

57. The graph data structure

58. The adjacency matrix of a graph

59. The adjacency list of a graph

60. The degree sequence of a graph

61. The shortest path between two vertices in a graph

62. The Floyd–Warshall algorithm

63. The Bellman–Ford algorithm

64. The Ford–Fulkerson algorithm

65. Dijkstra’s algorithm

66. The algorithm for finding the shortest path in a graph

67. The algorithm for finding the longest path in a graph

68. The algorithm for finding the shortest path from a given vertex to all other vertices in a graph

69. The algorithm for finding the longest path from a given vertex to all other vertices in a graph

70. The algorithm for finding the shortest path from a given vertex to a given vertex in a

App Name: |
Data Structure and Algorithm On Your PC |

Devoloper Name: |
Engineering Apps |

Latest Version: |
7 |

Android Version: |
4.0 |

Supporting OS: |
Windows,7,8,10 & Mac (32 Bit, 64 Bit) |

Package Name: |
com.faadooengineers.free_designanalysisofalgorithm |

Download: |
25844+ |

Category: |
Education |

Updated on: |
Apr 23, 2019 |

Get it On: |

## How To Install & Download Data Structure and Algorithm For PC Windows 10/8/7

Follow the simple instructions below to easily install and download **Data Structure and Algorithm** on your PC:

- Download the Bluestacks Android emulator from the link above
- Once the download is complete, run the .exe file to begin the installation
- Bluestacks can be successfully installed by following the on-screen instructions
- Launch Bluestacks once it has been installed
- Bluestacks will ask you to sign in; you can use your Gmail ID to sign in
- Now, look for the search bar and in the dialog box, type
**Data Structure and Algorithm**and press Enter - Click on the most appropriate app from the search results to expand it
- Start the installation process by clicking the Install button
- Wait for the installation to complete
- Now launch the Data Structure and Algorithm andorid App within the emulator and enjoy

## Data Structure and Algorithm App Overview and Details

This free App on Data Structure covers most important topics with full Description using Easy example and Diagrams. this Subject is very Helpful in Exam, Viva, Gate. All Chapter are Related to each other so after keeping it in mind all Content are Arranged with Step by Step.

The best app for Exam, college and in programs. If you are a student It will help to learn a lot.

This useful App lists 130 topics in 5 chapters, totally based on practical as well as a strong base of theoretical knowledge with notes written in very simple and understandable English.

Consider this App as a quick note guide which professors use in a classroom. The App will help in faster learning and quick revisions of all the topics.

Some of the topics Covered in the app are:

1. Introduction to Algorithms

2. Efficiency of algorithm

3. Analysis of insertion sort

4. Insertion sort

5. The divide-and-conquer approach

6. Analyzing divide-and-conquer algorithms

7. Asymptotic notation

8. Asymptotic notation in equations and inequalities

9. Standard notations and common functions

10. The hiring problem

11. Indicator random variables

12. Balls and bins

13. Probabilistic analysis and further uses of indicator random variables

14. Streaks

15. The on-line hiring problem

16. Overview of Recurrences

17. The substitution method for recurrences

18. The recursion-tree method

19. The master method

20. Proof of the master theorem

21. The proof for exact powers

22. Floors and ceilings

23. Randomized algorithms

24. Heaps

25. Maintaining the heap property

26. Building a heap

27. The heapsort algorithm

28. Priority queues

29. Description of quicksort

30. Performance of quicksort

31. A randomized version of quicksort

32. Analysis of quicksort

33. Lower bounds for sorting

34. Counting sort

35. Radix sort

36. Minimum and maximum

37. Selection in expected linear time

38. Bucket sort

39. Selection in worst-case linear time

40. Stacks and queues

41. Linked lists

42. Implementing pointers and objects

43. Representing rooted trees

44. Direct-address tables

45. Hash tables

46. Hash functions

47. Open addressing

48. Perfect hashing

49. introduction to binary search tree

50. Querying a binary search tree

51. Insertion and deletion

52. Randomly built binary search trees

53. Red-Black Trees

54. Rotations of red black tree

55. Insertion in red black tree

56. Deletion in red black tree

57. Dynamic order statistics

58. Augmenting a Data Structure

59. Interval Trees

60. Overview of Dynamic Programming

61. Assembly-line scheduling

62. Matrix-chain multiplication

63. Elements of dynamic programming

64. Longest common subsequence

65. Optimal binary search trees

66. Greedy Algorithms

67. Elements of the greedy strategy

68. Huffman codes

69. Theoretical foundations for greedy methods

70. A task-scheduling problem

71. Aggregate analysis

72. The accounting method

73. The potential method

74. Dynamic tables

75. B-Trees

76. Definition of B-trees

77. Basic operations on B-trees

78. Deleting a key from a B-tree

79. Binomial Heaps

80. Operations on binomial heaps

81. Fibonacci Heaps

82. Mergeable-heap operations

83. Decreasing a key and deleting a node

84. Bounding the maximum degree

85. Data Structures for Disjoint Sets

86. Linked-list representation of disjoint sets

87. Disjoint-set forests

88. Analysis of union by rank with path compression

89. Representations of graphs

90. Breadth-first search

91. Depth-first search

92. Topological sort

93. Strongly connected components

94. Minimum Spanning Trees

95. Growing a minimum spanning tree

96. The algorithms of Kruskal and Prim

97. Single-Source Shortest Paths

98. The Bellman-Ford algorithm

99. Single-source shortest paths in directed acyclic graphs

100. Dijkstra’s algorithm

101. Difference constraints and shortest paths

102. Shortest paths and matrix multiplication

103. The Floyd-Warshall algorithm

Algorithms is part of computer science & software engineering education courses and information technology degree programs of various universities.

## Whats New In this Data Structure and Algorithm?

Check out New Learning Videos! We have Added

• Chapter and topics made offline access

• New Intuitive Knowledge Test & Score Section

• Search Option with autoprediction to get straight the your topic

• Fast Response Time of Application

• Provide Storage Access for Offline Mode

## Conclusion

Overall, data structures and algorithms are a necessary part of computing. They allow us to organize and process data in a way that is efficient and effective. By understanding data structures and algorithms, we can create software that is reliable and easy to use.

This concludes our article on Data Structure and Algorithm Download for PC. Please let us know if you have any questions or have issues installing Emulators or Data Structure and Algorithm for Windows. Glad to help you out!

#### Disclaimer

We refer the ownership of This Data Structure and Algorithm to its creator/developer. We don’t own or affiliate for Data Structure and Algorithm and/or any part of it, including its trademarks, images, and other elements.

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