CLRS.Helper[Lite]

CLRS.Helper[Lite] icon

ASO Keyword Dashboard

Tracking 76 keywords for CLRS.Helper[Lite] in Apple App Store

Developer: 巍 顾 Category: education

CLRS.Helper[Lite] tracks 76 keywords (3 keywords rank; 73 need traction). Key metrics: 0% top-10 coverage, opportunity 69.6, difficulty 39.4, best rank 15.

Tracked keywords

76

3  ranked •  73  not ranking yet

Top 10 coverage

0%

Best rank 15 • Latest leader —

Avg opportunity

69.6

Top keyword: source

Avg difficulty

39.4

Lower scores indicate easier wins

Opportunity leaders

  • source

    Opportunity: 73.0 • Difficulty: 42.6 • Rank —

    Competitors: 110

    67.7
  • merge

    Opportunity: 73.0 • Difficulty: 41.4 • Rank —

    Competitors: 184

    63.8
  • operation

    Opportunity: 73.0 • Difficulty: 38.8 • Rank —

    Competitors: 42

    64.1
  • functions

    Opportunity: 73.0 • Difficulty: 41.6 • Rank —

    Competitors: 108

    67.5
  • black

    Opportunity: 73.0 • Difficulty: 41.0 • Rank —

    Competitors: 135

    64.6

Unranked opportunities

  • source

    Opportunity: 73.0 • Difficulty: 42.6 • Competitors: 110

  • merge

    Opportunity: 73.0 • Difficulty: 41.4 • Competitors: 184

  • operation

    Opportunity: 73.0 • Difficulty: 38.8 • Competitors: 42

  • functions

    Opportunity: 73.0 • Difficulty: 41.6 • Competitors: 108

  • black

    Opportunity: 73.0 • Difficulty: 41.0 • Competitors: 135

High competition keywords

  • time

    Total apps: 189,872 • Major competitors: 2,979

    Latest rank: — • Difficulty: 55.0

  • help

    Total apps: 162,244 • Major competitors: 2,472

    Latest rank: — • Difficulty: 54.9

  • track

    Total apps: 125,707 • Major competitors: 1,580

    Latest rank: — • Difficulty: 52.7

  • using

    Total apps: 114,639 • Major competitors: 1,562

    Latest rank: — • Difficulty: 53.1

  • data

    Total apps: 97,683 • Major competitors: 1,018

    Latest rank: — • Difficulty: 51.5

All tracked keywords

Includes opportunity, difficulty, rankings and competitor benchmarks

Major Competitors
complexity711003355

1,940 competing apps

Median installs: 450

Avg rating: 4.1

1515

22

major competitor apps

algorithms721003761

4,732 competing apps

Median installs: 500

Avg rating: 4.0

8276

51

major competitor apps

algorithm721003861

4,700 competing apps

Median installs: 550

Avg rating: 4.1

8684

54

major competitor apps

change691004877

40,802 competing apps

Median installs: 600

Avg rating: 4.0

783

major competitor apps

single691004877

41,009 competing apps

Median installs: 550

Avg rating: 4.1

614

major competitor apps

source731004368

11,748 competing apps

Median installs: 400

Avg rating: 4.1

110

major competitor apps

connected701004876

37,881 competing apps

Median installs: 300

Avg rating: 4.1

453

major competitor apps

step691004877

42,115 competing apps

Median installs: 500

Avg rating: 4.1

644

major competitor apps

merge731004164

6,874 competing apps

Median installs: 900

Avg rating: 4.1

184

major competitor apps

design691004877

40,747 competing apps

Median installs: 534

Avg rating: 4.1

678

major competitor apps

content681005279

60,391 competing apps

Median installs: 500

Avg rating: 4.2

953

major competitor apps

using661005384

114,639 competing apps

Median installs: 450

Avg rating: 4.0

1,562

major competitor apps

time651005588

189,872 competing apps

Median installs: 450

Avg rating: 4.1

2,979

major competitor apps

program721004471

18,525 competing apps

Median installs: 400

Avg rating: 4.1

230

major competitor apps

help651005587

162,244 competing apps

Median installs: 450

Avg rating: 4.1

2,472

major competitor apps

process701004674

28,694 competing apps

Median installs: 350

Avg rating: 4.0

230

major competitor apps

operation731003964

7,201 competing apps

Median installs: 350

Avg rating: 3.9

42

major competitor apps

search681005280

61,671 competing apps

Median installs: 500

Avg rating: 4.1

979

major competitor apps

function721004269

14,730 competing apps

Median installs: 350

Avg rating: 3.9

159

major competitor apps

dynamic711004572

20,951 competing apps

Median installs: 500

Avg rating: 4.1

292

major competitor apps

code711004573

22,997 competing apps

Median installs: 400

Avg rating: 4.0

246

major competitor apps

track661005385

125,707 competing apps

Median installs: 431

Avg rating: 4.1

1,580

major competitor apps

run711004673

24,002 competing apps

Median installs: 550

Avg rating: 4.1

501

major competitor apps

minimum721004160

4,115 competing apps

Median installs: 500

Avg rating: 4.0

94

major competitor apps

functions731004267

11,457 competing apps

Median installs: 350

Avg rating: 3.8

108

major competitor apps

76 keywords
1 of 4

App Description

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;