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Akshar Tutorial vs CLRS.Helper[Lite] Uso e estatísticas
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Online Learning is education that happens online or over the Internet. Learners can be from anywhere around the world, and they can participate in the classes through online instead of traditional classrooms. The highlights of online learning are accessibility and convenience. Classes can be accessed using mobile devices, and it gives students the opportunity to explore their strengths and weaknesses and enable self-paced learning. There are plenty of online learning platforms available that provide the best learning experience to students.
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Refer to The third edition of the book, covering content [need full version]:
2. Getting Started: Insertion sort, Merge sort;
4. Divide-and-Conquer: Maximum-subarray, Matrix Multiplication[normal, recursive, Strassen’s algorithm];
6. Heapsort: Heapsort[max-heap, min-heap];
7. Quicksort: Quicksort;
8. Sorting in Linear Time: Counting sort;
12. Binary Search Trees: Binary search tree[Inorder Walk, Search Recursive, Search Iterative, Minimum Iterative, Maximum Iterative, Successor, Predecessor, Insert, Delete];
13. Red-Black Trees: Red Black Tree[Insert, Delete];
15. Dynamic Programming: Rod cutting[Recursive, Top_down, Bottom_up, Print],Longest common subsequence;
16. Greedy Algorithms: Acitivity selection[Recursive, Iterative],Huffman codes;
22. Elementary Graph: Breadth-first search, Depth-first search, Topological sort, Strongly connected components;
23. Minimum Spanning Trees: Minimum spanning tree[Kruskal’s algorithm,Prim’s algorithm];
24. Single-Source Shortest Paths: The Bellman-Ford algorithm,DAG algorithm,Dijkstra’s algorithm;
25. All-pairs Shortest Paths: All-pairs Shortest paths algorithms[Slow,Faster,The Floyd-Warshall algorithm];
26. Maximum Flow: The Ford-Fulkerson algorithm;
Addition: Tower of Hanoi,N Queens Problem,Comparison of sorting algorithms;
The primary features:
You can run the pseudo-code single step or continuous, observe the change of parameters and data structures,it can help you to understand the design thought of the algorithm;
You can set breakpoints in program and ovserve the status of breakpoint, it can help you to understand why this algorithm is corrcet by using loop invariants;
With running-time function stacks and the returning positions,you can track the running process of recursive functions easily, and understand the operation mechanism of computer programs;
By recording the performed times of the pseudo-codes can help you to understand the running time of algorithms;
I wish this app can be helpful to you;
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Akshar Tutorial VS.
CLRS.Helper[Lite]
janeiro 4, 2025