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Udemy - Advanced Data Structures and Algorithms in C

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Udemy - Advanced Data Structures and Algorithms in C (Size: 2 GB)
  1 0 B
  1. Introduction to Advanced Data Structures and Algorithms Through C.mp4 16.5 MB
  1. Introduction to Advanced Data Structures and Algorithms Through C.srt 1.8 KB
  1. Introduction.mp4 10.7 MB
  1. Introduction.srt 3.8 KB
  1. Recommended Course and offer on my other courses.html 1.8 KB
  1. Shortest Path Problem.mp4 8.1 MB
  1. Shortest Path Problem.srt 2.8 KB
  1.1 UdemyStudentCoupon.pdf 217.3 KB
  2 409.6 B
  10. Adjacency List in C.mp4 65.7 MB
  10. Adjacency List in C.srt 11.2 KB
  10. Classification of Edges in DFS of Directed Graph.mp4 43.1 MB
  10. Classification of Edges in DFS of Directed Graph.srt 7.5 KB
  10. Deletion in AVL Tree - 3.mp4 41.1 MB
  10. Deletion in AVL Tree - 3.srt 7.6 KB
  10. Implementation of Deletion.mp4 71.2 MB
  10. Implementation of Deletion.srt 12.1 KB
  11. Classification of Edges in DFS of Undirected Graph.mp4 32.3 MB
  11. Classification of Edges in DFS of Undirected Graph.srt 6 KB
  11. Examples of deletion in AVL Tree.mp4 30.5 MB
  11. Examples of deletion in AVL Tree.srt 9.9 KB
  11. Transitive closure of a directed graph and Path Matrix.mp4 37 MB
  11. Transitive closure of a directed graph and Path Matrix.srt 11 KB
  12. Warshall’s Algorithm.mp4 34.5 MB
  12. Warshall’s Algorithm.srt 11.8 KB
  12. Your Review Matters!.html 409.6 B
  13. Warshall’s Algorithm in C.mp4 10.3 MB
  13. Warshall’s Algorithm in C.srt 2.4 KB
  2. Breadth First Search.mp4 16.6 MB
  2. Breadth First Search.srt 6.4 KB
  2. Constructing and Evaluating an Expression Tree.mp4 18.5 MB
  2. Constructing and Evaluating an Expression Tree.srt 8 KB
  2. Dijkstra’s Algorithm.mp4 34.9 MB
  2. Dijkstra’s Algorithm.srt 10.5 KB
  2. Inorder Traversal.mp4 22.2 MB
  2. Inorder Traversal.srt 5.4 KB
  2. Insertion.mp4 24 MB
  2. Insertion.srt 6.6 KB
  2. Prim's Algorithm.mp4 10.1 MB
  2. Prim's Algorithm.srt 4.2 KB
  2. Rotations.mp4 26.4 MB
  2. Rotations.srt 7.9 KB
  2. Terminology.mp4 27.2 MB
  2. Terminology.srt 10.1 KB
  3 222.1 KB
  3. Cycles.mp4 9.2 MB
  3. Cycles.srt 3.6 KB
  3. Deletion.mp4 41.2 MB
  3. Deletion.srt 9.9 KB
  3. Dijkstra’s Algorithm Example.mp4 37.5 MB
  3. Dijkstra’s Algorithm Example.srt 9.9 KB
  3. Implementation of Breadth First Search.mp4 44.5 MB
  3. Implementation of Breadth First Search.srt 10.6 KB
  3. Implementation of Expression Tree.mp4 24.1 MB
  3. Implementation of Expression Tree.srt 5.1 KB
  3. Insertion in AVL Tree - 1.mp4 47.5 MB
  3. Insertion in AVL Tree - 1.srt 13.4 KB
  3. Prim's Algorithm Example.mp4 31.2 MB
  3. Prim's Algorithm Example.srt 7.5 KB
  3. Searching.mp4 33.3 MB
  3. Searching.srt 9.8 KB
  4. Connectivity in Undirected Graph.mp4 20.3 MB
  4. Connectivity in Undirected Graph.srt 7 KB
  4. Dijkstra’s Algorithm in C.mp4 29.2 MB
  4. Dijkstra’s Algorithm in C.srt 6 KB
  4. Finding Shortest path in an unweighted graph.mp4 44.9 MB
  4. Finding Shortest path in an unweighted graph.srt 10.2 KB
  4. Insertion.srt 15.8 KB
  4 286.5 KB
  4. Insertion in AVL Tree - 2.mp4 62.5 MB
  4. Insertion in AVL Tree - 2.srt 12.2 KB
  4. Insertion.mp4 40.2 MB
  4. Prim's Algorithm in C.mp4 22.4 MB
  4. Prim's Algorithm in C.srt 4.7 KB
  5. BFS Spanning Tree.mp4 12.1 MB
  5. BFS Spanning Tree.srt 3.3 KB
  5. Connectivity in Directed Graphs.mp4 14 MB
  5. Connectivity in Directed Graphs.srt 4.1 KB
  5. Implementation of Insertion - 1.mp4 87.7 MB
  5. Insertion in AVL Tree - 3.mp4 78.8 MB
  5. Insertion in AVL Tree - 3.srt 16.6 KB
  5 478 KB
  5. Implementation of Insertion - 1.srt 20.5 KB
  5. Kruskal's Algorithm.mp4 8.4 MB
  5. Kruskal's Algorithm.srt 3.1 KB
  6. BFS in Undirected Graphs Finding Connected Components.mp4 34.7 MB
  6. BFS in Undirected Graphs Finding Connected Components.srt 9.3 KB
  6. Implementation of Insertion - 2.mp4 32.5 MB
  6. Implementation of Insertion - 2.srt 7.3 KB
  6. Insertion in AVL Tree - 4.mp4 29.5 MB
  6. Insertion in AVL Tree - 4.srt 5.9 KB
  6. Kruskal's Algorithm Example.mp4 19.6 MB
  6. Kruskal's Algorithm Example.srt 5.2 KB
  6. Tree and Forest.mp4 13 MB
  6 39.5 KB
  6. Tree and Forest.srt 3.8 KB
  7. Deletion.mp4 12.8 MB
  7. Deletion.srt 4 KB
  7. Depth First Search.mp4 10.6 MB
  7. Depth First Search.srt 4.4 KB
  7. Examples of insertion in AVL Tree.mp4 30.2 MB
  7. Examples of insertion in AVL Tree.srt 9.9 KB
  7. Implementation of Kruskal's Algorithm.mp4 41.6 MB
  7. Representation of Graph Adjacency Matrix.mp4 16.3 MB
  7. Representation of Graph Adjacency Matrix.srt 6.6 KB
  7 310.4 KB
  7. Implementation of Kruskal's Algorithm.srt 12.6 KB
  8 266.2 KB
  8. Adjacency Matrix in C.mp4 94.8 MB
  8. Adjacency Matrix in C.srt 18.2 KB
  8. Deletion in AVL Tree - 1.mp4 33.8 MB
  8. Deletion in AVL Tree - 1.srt 6.8 KB
  8. Examples of Deletion from Leaf Node.mp4 33 MB
  8. Examples of Deletion from Leaf Node.srt 9.9 KB
  8. Implementation of Depth First Search through Stack.mp4 48.7 MB
  8. Implementation of Depth First Search through Stack.srt 10.8 KB
  8. Kruskal's Algorithm in C.mp4 32.6 MB
  8. Kruskal's Algorithm in C.srt 6.8 KB
  9. Deletion in AVL Tree - 2.mp4 61 MB
  9. Deletion in AVL Tree - 2.srt 12.7 KB
  9. Examples of Deletion from Non-Leaf Node.mp4 11.8 MB
  9. Examples of Deletion from Non-Leaf Node.srt 3.4 KB
  9. Recursive Implementation of Depth First Search.mp4 26.7 MB
  9. Recursive Implementation of Depth First Search.srt 7.4 KB
  9. Representation of Graph Adjacency List.mp4 29.9 MB
  9. Representation of Graph Adjacency List.srt 8.5 KB
  TutsNode.com.txt 102.4 B
  [TGx]Downloaded from torrentgalaxy.to .txt 614.4 B
  9 285.3 KB
  10 35.1 KB
  11 67.4 KB
  12 483.4 KB
  13 414.8 KB
  14 443.2 KB
  15 257.9 KB
  16 450.3 KB
  17 325.2 KB
  18 43 KB
  19 492.9 KB
  20 121.2 KB
  21 297.4 KB
  22 489.4 KB
  23 195.2 KB
  24 167 KB
  25 499.2 KB
  26 394.9 KB
  27 24.4 KB
  28 244.9 KB
  29 277.8 KB
  30 28 KB
  31 351.6 KB
  32 71.4 KB
  33 33.8 KB
  34 256.8 KB
  35 324 KB
  36 352.6 KB
  37 131 KB
  38 130.3 KB
  39 372 KB
  40 28.7 KB
  41 64 KB
  42 356.3 KB
  43 221.7 KB
  44 390.3 KB
  45 474.4 KB
  46 369.5 KB
  47 500.6 KB
  48 189.6 KB
  49 22 KB
  50 8.5 KB
  51 175.1 KB
  52 376 KB
  53 157.8 KB
  54 270.4 KB
  55 341.1 KB
  56 456.6 KB
  57 190.7 KB
  58 401.6 KB
  59 324.5 KB
  60 105.8 KB
  61 418.1 KB
  62 134.6 KB
  ▲ 195 total files

Description


Description

This “Advanced Data Structures and Algorithms In C” course is thoroughly detailed and uses lots of animations to help you visualize the concepts.

This “Advanced Data Structures and Algorithms in C” tutorial provides a comprehensive explanation of different types of graph and various graph algorithms. Throughout the course a step by step approach is followed to make you understand different algorithms. Through this course you can build a strong foundation and it will help you to crack Data Structures and Algorithms in C coding interviews questions and work on projects. Good foundation on Data Structures and Algorithms in C interview topics helps you to attempt tricky interview questions.

This Data Structures and Algorithms using C course covers following topics with C implementation :

Trees : AVL Tree, Threaded Binary Tree, Expression Tree, B Tree explained and implemented in C

Graphs : Adjacency matrix, Adjacency list, Path matrix, Warshall’s Algorithm, Traversal, Breadth First Search (BFS), Depth First Search (DFS), Dijkstra’s Shortest Path Algorithm, Prim’s Algorithm and Kruskal’s Algorithm for minimum spanning tree

Here is the course content-

AVL Tree
Threaded Binary Tree
Expression Tree
B Tree
Graph
Traversal in Graph
Shortest Paths in Graph
Minimum Spanning Tree of a Graph

The Data Structures and Algorithms with C course is broken down into easy to assimilate short lectures and complete working programs are shown for each concept that is explained. The algorithms and examples are explained with figures and animations to simplify the learning of this complex topic. You will see code implementation of different data structures in C and algorithms are explained in step-wise manner.

In this Data Structures and Algorithms through C course, C programs are used for implementing various concepts, but you can easily code them in any other programming language like C++, C#, Java, Python.

This “Data Structures and Algorithms In C” online course on udemy will help software developers to refresh the concepts studied in Data Structures and Algorithms In C books / pdf and also to students learning from referred books / pdf.

So what are you waiting for, click on Buy button to enroll now and start learning.
Who this course is for:

Professional Programmers wanting to write effective code
Programmers looking for jobs
Computer Science students having Data Structures as part of their curriculum
Non Computer science students wanting to enter IT industry

Requirements

Knowledge of C programming
Knowledge of linked list, stack, queue and binary search trees

Last Updated 1/2021

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