Data Structure and Algorithm Pro on Windows Pc
Developed By: Engineering Apps
License: Free
Rating: 5,0/5 - 1 votes
Last Updated: April 18, 2024
App Details
| Version |
1 |
| Size |
1 MB |
| Release Date |
January 19, 19 |
| Category |
Education Apps |
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What's New:
Check out New Learning Videos! We have Added • Chapter and topics made offline access • New Intuitive Knowledge Test & Score Section • Search Option with... [see more]
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Description from Developer:
This 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 Rel... [read more]
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About this app
On this page you can download Data Structure and Algorithm Pro and install on Windows PC. Data Structure and Algorithm Pro is free Education app, developed by Engineering Apps. Latest version of Data Structure and Algorithm Pro is 1, was released on 2019-01-19 (updated on 2024-04-18). Estimated number of the downloads is more than 1. Overall rating of Data Structure and Algorithm Pro is 5,0. Generally most of the top apps on Android Store have rating of 4+. This app had been rated by 1 users, 1 users had rated it 5*, 1 users had rated it 1*.
How to install Data Structure and Algorithm Pro on Windows?
Instruction on how to install Data Structure and Algorithm Pro on Windows 10 Windows 11 PC & Laptop
In this post, I am going to show you how to install Data Structure and Algorithm Pro on Windows PC by using Android App Player such as BlueStacks, LDPlayer, Nox, KOPlayer, ...
Before you start, you will need to download the APK/XAPK installer file, you can find download button on top of this page. Save it to easy-to-find location.
[Note] You can also download older versions of this app on bottom of this page.
Below you will find a detailed step-by-step guide, but I want to give you a fast overview of how it works. All you need is an emulator that will emulate an Android device on your Windows PC and then you can install applications and use it - you see you're playing it on Android, but this runs not on a smartphone or tablet, it runs on a PC.
If this doesn't work on your PC, or you cannot install, comment here and we will help you!
Step By Step Guide To Install Data Structure and Algorithm Pro using BlueStacks
- Download and Install BlueStacks at: https://www.bluestacks.com. The installation procedure is quite simple. After successful installation, open the Bluestacks emulator. It may take some time to load the Bluestacks app initially. Once it is opened, you should be able to see the Home screen of Bluestacks.
- Open the APK/XAPK file: Double-click the APK/XAPK file to launch BlueStacks and install the application. If your APK/XAPK file doesn't automatically open BlueStacks, right-click on it and select Open with... Browse to the BlueStacks. You can also drag-and-drop the APK/XAPK file onto the BlueStacks home screen
- Once installed, click "Data Structure and Algorithm Pro" icon on the home screen to start using, it'll work like a charm :D
[Note 1] For better performance and compatibility, choose BlueStacks 5 Nougat 64-bit read more
[Note 2] about Bluetooth: At the moment, support for Bluetooth is not available on BlueStacks. Hence, apps that require control of Bluetooth may not work on BlueStacks.
How to install Data Structure and Algorithm Pro on Windows PC using NoxPlayer
- Download & Install NoxPlayer at: https://www.bignox.com. The installation is easy to carry out.
- Drag the APK/XAPK file to the NoxPlayer interface and drop it to install
- The installation process will take place quickly. After successful installation, you can find "Data Structure and Algorithm Pro" on the home screen of NoxPlayer, just click to open it.
Discussion
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This 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.
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
