Algorithms HQ vs CLRS.Helper[Lite]

A fun and didactic app to learn computer science algorithms! See how algorithms are working by watching an animation of their execution. Understand how data is manipulated as it is animated through an intuitive representation of its contents. Always know which line is executed in the pseudo-code, what are the values of the variables. Need to quickly refresh your memory? Just use the app as a quick reference on the main characteristics of each algorithm! Main features: - Execute a single instruction, or undo the previous one - Run, or rewind the algorithm until you decide to pause the execution - Adjust the speed of the animation - Best and worst case input data for sorting algorithms - Change the input data: size (up to 500), maximum value or data distribution (random, sorted, many duplicates, etc.) - For data structures, choose the next function to execute, or let a scenario choose for you, so you can see how the data structure evolves. - Landscape or portrait orientation This version contains the following algorithms: Linear Data Structures: - Linked Lists, including a view on memory - Queue - Stack Sorting algorithms: - Bubble Sort - Cocktail Sort - Gnome Sort - Insertion Sort - Quick Sort - Selection Sort More algorithms and more features are on the way!

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;