| 개발자: | Ievgen Ovsii (2) | ||
| 가격: | * 무료 | ||
| 순위: | 0 | ||
| 리뷰: | 0 리뷰 작성 | ||
| 목록: | 0 + 0 | ||
| 포인트: | 1 + 51 (4.8) ¡ | ||
| 포인트 +1 | |||
기술
Key Features:
- Visual Learning: Step-by-step animations for complex algorithms and data structures, including sorts, trees, graphs, and more.
- Hands-On Interaction: Manipulate data directly within the app to see real-time algorithmic changes. Ideal for visual learners!
- Comprehensive Topics: Covers essential topics from basic linear data structures like arrays and linked lists to advanced algorithms such as Dijkstra's and MST. Includes both theory and practical code examples in Python and Java.
- Offline Learning: No internet? No problem! Learn on the go, whether you’re commuting or between meetings—perfect for busy learners.
- Gaming-Inspired Design: Engaging interface that mimics gaming environments, making learning both fun and effective.
What You'll Learn:
- Fundamental and advanced sorting algorithms: Bubble Sort, Quick Sort, Merge Sort, and more.
- Detailed explorations of binary trees, AVL trees, red-black trees, and tree traversals.
- Graph algorithms including BFS, DFS, Prim’s and Kruskal’s algorithms for finding the Minimum Spanning Tree (MST), and Dijkstra’s algorithm for determining the shortest path.
- Practical implementations of data structures such as hash tables and linked lists.
Benefits:
- Quick Learning: Bypass traditional methods with a direct, hands-on approach that keeps knowledge retention high.
- Always Available: Full offline functionality means your learning journey is always at your fingertips.
- No Subscriptions: Pay once and enjoy full access forever—no ads, no recurring fees.
Get Started Today!
Download now and unlock the full power of visual learning to master algorithms and data structures. Whether at home, on a bus, or during a break, transform your device into a dynamic learning platform. Dive into the interactive world of algorithms today!
스크린샷
새로운 기능
- 버전: 1.11.0
- 업데이트:
- 1. Union-Find Data Structure: Now available to enhance understanding of network connectivity and related challenges.
2. Kruskal’s Algorithm: Newly added to provide a robust method for computing the Minimum Spanning Tree (MST) in weighted graphs.
3. Enhanced Algorithm Code: Refined code for DFS, BFS, Prim’s MST, and Dijkstra ensures more effective learning experiences.
4. New Look: Our app icon and name have been updated to better reflect our evolving brand and mission.
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- 최소: 무료
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