Dive into the key algorithms involving maps, sets, and two-pointer techniques. This course will enhance your skills in optimizing data structures and problem-solving methods.
Overview
Syllabus
- Unit 1: Introduction to Complexity Analysis and Optimization in Go
- Sum of Integer Points Between Two Towns
- Find Minimum Absolute Difference in Array
- Optimized Array Replacement Based on Closest Neighbor
- Unit 2: Effective Set Operations with Go Slices and Maps
- Finding Common Characters Between String and Array
- Check Celestial Body Presence in Lists Using Maps in Go
- Book Recommendation System in Go
- Unit 3: Efficient Block Minimization with Go Maps and Slices
- Partition String into Substrings by Unique Letters
- Character Removal to Maximize Unique Broken Words
- Calculate Minimum Distances in Word List
- Unit 4: Applying the Two-Pointer Technique for Pair Sums in Go
- Finding Chocolate Pairs with Zero Sweetness Sum in Go
- Finding Maximum Sum Subarray with Two-Pointer Technique
- Finding the Longest Subarray with a Given Sum in Go
- Unit 5: Efficient Pair Replacement Using Slices and Two-Pointer Technique in Go
- Find Closest Numbers in Array to Form Resulting Sequence
- Finding the Most Influential Person within Two Degrees of Connection
- Longest Substring with K Distinct Characters in Go