Computer Programming
16 learners
Maximizing Efficiency in Ruby Problem Solving Techniques
This comprehensive course covers distinctive problem-solving approaches and analysis techniques extending beyond basic programming. Topics include optimizing brute-force methods, managing combinatorial problems, and effectively utilizing heaps and sorted lists.
Ruby
See path
5 lessons
15 practices
3 hours
Badge for General Programming and Algorithms,
General Programming and Algorithms
Lessons and practices
Lesson 1: Finding Four Numbers with a Target Sum Using Ruby
Find Pair with Sum in Array
Retrieve Player Scores Based on Queries
Find Indices with Equal Sums
Lesson 2: Finding Minimum Values in Array Queries Using Ruby Optimization Techniques
Maximum Cumulative Sum Queries
Longest Substring Length After Removing Characters
Closest Perfect Square Divisors Task
Lesson 3: Finding Non-Common Element Pairs in Large Arrays Using Ruby
Counting Pairs with Large Difference
Count Pairs of Equal Values in Array
Count 3-Letter Combinations with Two Identical Characters
Lesson 4: Finding Prefix Medians Using Heaps in Ruby
Perform Operations on a Set of Numbers
Manage Queries and Find the 3rd Minimum
Find the Floor(k/3)-th Smallest Element in Prefix
Lesson 5: Efficient Query Handling with Ruby's RBTree
Smallest Absolute Distance for Added Integers
Processing Operations on a Set in Ruby
Efficient Intervals Management
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