CLRS.Helper[Lite] vs Algo Demo

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;

Algo Demo — Visualize Algorithms & Data Structures Designed for CS students, interview preppers, and educators, Algo Demo demystifies algorithms through interactive animations and step-by-step visualizations. Covered Topics: • Data Structures: Linked Lists, Binary Trees, Stacks, Hash Tables • Core Algorithms: Sorting, Two Pointers, Dynamic Programming, Binary Search Key Features: • All-New Progress Control: Our most powerful interactive upgrade yet! Drag a sleek progress bar to jump to any step of an algorithm in real-time. Perfect your understanding by replaying complex parts at your own pace. • Live Code Playback: Watch the code execute in perfect sync with the visualization. Key lines are highlighted as the algorithm runs, forging a clear connection between abstract logic and concrete implementation. • Smooth Animations: Break down each step of algorithm execution with crystal-clear visuals. • Interactive Playback: Adjust speed, pause, or rewind for deeper learning.