Download Data Structure and Algorithm For PC – Windows 7/8/10/Mac

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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.

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

Data Structure and Algorithm App Specification
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:

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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.

Here at narechk, we also don’t use our own server to download the Data Structure and Algorithm. We refer to the official server, store, or website to help our visitors to download the Data Structure and Algorithm.

If you have any query about the app or about narechk, we’re here to help you out. Just head over to our contact page and talk your heart to us. We’ll get back to you ASAP.

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