Visual Algorithm

Educació

Gratis · Compres integrades

What you can get in the app - Step-by-step execution: Key operations such as comparisons, swaps, pointer moves, push/pop, rotations and recoloring, relaxation updates, and more are highlighted in real time. - Full process control: Pause/resume, single-step, and replay (great for review and explanation). - Side-by-side learning: Compare how different algorithms behave on the same input to understand why one is faster/slower, stable/unstable, and when to use each. - Stats and metrics: In modules like sorting, display metrics such as comparison count and swap count to build complexity awareness and performance intuition. - Data structure + operations together: Not only the “algorithm,” but also how the underlying data structure changes as operations are applied. Content overview (by module) 1) Sorting Ideal for bar/column visualizations with frequent, high-contrast changes. Built-in algorithms include: - Bubble Sort, Selection Sort, Insertion Sort, Shell Sort - Merge Sort, Quick Sort, Heap Sort - Counting Sort, Radix Sort, Bucket Sort - Cocktail Shaker Sort, Comb Sort - Hybrid sorts (e.g., TimSort, for advanced extensions) Visualization focus: comparisons and swaps, partition/merge processes, heapify operations, and behavior/metrics differences across algorithms at the same input size. 2) Searching Demonstrates “search paths” and pointer movement using arrays, sorted sequences, and tree structures: - Linear Search, Binary Search, Interpolation Search - Skip List (multi-level structure + search process) Plus structure-based searching: - Search in BST/AVL/Red-Black Trees - B-Tree / B+ Tree search (useful for index and disk-structure intuition) - Hash-based search (collision handling: separate chaining, open addressing) 3) Data Structures and Core Operations Binds “structure shape” and “operation steps” together so you understand the mechanism and cost behind each operation. Linear structures - Arrays: access, insert, delete (including shifting) - Linked lists: singly/doubly/circular (insert, delete, reverse) - Stacks: push/pop, applications like parentheses matching - Queues: standard queue, circular queue, deque, priority queue Tree structures - Binary tree traversals: preorder/inorder/postorder (recursive vs iterative), level-order traversal - BST: insert/delete/search - AVL: LL/RR/LR/RL rotations and trigger conditions - Red-Black Tree: rotations and recoloring during insert/delete - Heap: insert, delete-top, heapify - Trie: insert/search/delete - Segment Tree / Fenwick Tree (BIT): point update, range query Graph structure basics - Adjacency matrix vs adjacency list - Undirected graphs, directed graphs, weighted graphs 4) Graph Algorithms Dynamic node-edge animations are especially intuitive for building graph theory intuition. Traversal and connectivity - DFS, BFS, connected components, topological sorting Shortest paths - Dijkstra, Bellman–Ford, Floyd–Warshall, A* search Minimum spanning tree - Prim, Kruskal (with Union-Find visualization) Advanced: matching and flow - Bipartite matching (augmenting path idea) - Maximum flow (Ford–Fulkerson / Edmonds–Karp) 5) String Algorithms Presented with “text + pointers/windows/tables”: - Naive matching, KMP (prefix table), Rabin–Karp (rolling hash) - Boyer–Moore / Horspool - Suffix array construction, (advanced) suffix automaton / suffix tree - LCS, longest common substring, edit distance (DP table animation) 6) Recursion and Backtracking Shows the essence of problem-solving with “recursion tree + call stack + backtracking path”: - Permutations/combinations/subsets - N-Queens, Sudoku, maze paths, Tower of Hanoi - Highlighting choice points and undo steps during backtracking 7) Dynamic Programming Uses state tables/grids to show exactly “where each transition comes from”: - Fibonacci (recursion vs memoization vs iteration) - 0/1 knapsack, unbounded knapsack - LCS, edit distance - Grid min path / max weight path - Advanced: interval DP, tree DP

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  • L’app no té prou valoracions o ressenyes per mostrar‑ne una visió general.

L’equip de desenvolupament de l’app, 皖鹏 任, ha indicat que les pràctiques de privacitat poden incloure el tractament de les dades tal com es descriu a continuació. Per obtenir més informació, consulta la seva política de privacitat .

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    Informació

    • Mida
      • 6,5 MB
    • Categoria
      • Educació
    • Compatibilitat
      Cal tenir la versió iOS 16.0 o posterior.
      • iPhone
        Cal tenir la versió iOS 16.0 o posterior.
      • iPad
        Cal tenir la versió iPadOS 16.0 o posterior.
      • Mac
        Cal tenir la versió macOS 13.0 o posterior.
      • Apple Vision
        Cal tenir la versió visionOS 1.0 o posterior.
    • Idiomes
      Alemany i 5 més
      • Alemany, Anglès, Francès, Japonès, Xinès simplificat, Xinès tradicional
    • Edat
      4+
    • Compres integrades
      Sí
    • Distribució
      wanpeng ren
      • wanpeng ren no s’ha identificat com a comerciant d’aquesta app. Si compres el producte o servei des de l’Espai Econòmic Europeu, els drets dels consumidors no s’apliquen als acords que hi hagi entre aquest proveïdor i tu.
    • Copyright
      • © 2026 Rocky
  • Política de privacitat

    • Més de: 皖鹏 任