CLRS.Helper[Lite] Downloads & RevenueCLRS.Helper[Lite] · App Store
Not in any tracked top chart right now.
Updated 8 Nov 2026 · rankings refresh through the day
Developer巍 顾
CategoryEducation
PriceFree
Released
Rating★ 5.0 (2)
Version1.5
Age rating4+
First seen by us
24 Oct 2026
Full timeline · 2 events in the last 12 months
- 🆕CLRS.Helper[Lite] first spotted by AppInsiderChina (found via developer)
- 🆕CLRS.Helper[Lite] released on the App Store
Collected from the stores by AppInsider since we first spotted the app. Dates are when we saw each change.
Rating
5.0 ★
2 ratings
Measured
CLRS.Helper[Lite] on the App Store
App details
App ID
1566475953
Publisher
巍 顾
On the store since
May 2021
5 years on the store
Minimum OS
iOS 15.0+
iPhone 6s and later
Devices
iPhone · iPad
Universal purchase
Content rating
4+
Languages
3
EN ZH ZH
Size
29 MB
Where it ranks now
Every top chart it appears in across 30 countries.
| Country | Charts | Rank |
|---|---|---|
| Not charting right now. | ||
Ratings
App Store, worldwide.
Rating
5.0 ★
2 ratings
Measured
Ratings
2
Measured
About CLRS.Helper[Lite]
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;
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;
Latest updates
1.5
Added: descriptions of Insert Sort and Merge Sort in Ch02;