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
- Lesson 2: Optimizing Range Query Solutions with Precalculation Techniques
- Lesson 3: Combinatorial Pair Analysis in Large Datasets
- Lesson 4: Efficient Median Calculation for Array Prefixes Using Heaps
- Lesson 5: Efficient Set Operations with Sorted Data Structures
Related Courses
-
Maximized Efficiency in Problem Solving Techniques in C#
-
Maximizing Efficiency in Problem-Solving Techniques in Java
-
Maximizing Efficiency in Problem-Solving Techniques in C++
-
Maximizing Efficiency in Problem-Solving Techniques in JavaScript
-
Master Dictionaries, Two Pointers, and More Algorithms in Python
