This comprehensive course incorporates unique problem-solving approaches and analyzing techniques that extend beyond core programming. Topics include optimizing brute force methods, dealing with combinatorial problems, and utilizing heaps and sorted lists effectively.
Overview
Syllabus
- Lesson 1: Estimating Algorithm Processing Time and Optimizing Brute-Force Solutions by Picking Optimal Variable for Brute Force
- Finding a Pair with Target Sum Using Hashmap Optimization
- Player Score Lookup Through ID Queries
- Finding Pair Sums in Two Arrays
- Lesson 2: Optimizing Range Query Solutions with Precalculation Techniques
- Maximal Cumulative Sum in Array for Given Queries
- Finding the Length of a Substring After Removing Certain Characters
- Finding Divisors of the Closest Perfect Square
- Lesson 3: Combinatorial Pair Analysis in Large Datasets
- Counting Distinct Pairs with Absolute Difference More Than 10
- Counting Pairs with Equal Values in an Array
- Three-Letter Combination Count from String
- Lesson 4: Efficient Median Calculation for Array Prefixes Using Heaps
- Implementing Heap Operations on a Set of Numbers
- Heap Manipulation for Data Querying
- Finding the floor(k/3)-th Smallest Number in Each Prefix
- Lesson 5: Efficient Set Operations with Sorted Data Structures
- Finding Smallest Absolute Distance Between Added Numbers
- Managing Operations on A Sorted List
- Interval Management with SortedLists in Python
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