Advanced Algorithms I
Deepening knowledge
Code Trail5 of 6
Dive deeper into advanced algorithmic concepts, focusing on techniques like Two Pointer and Parametric Search. This trail challenges you to optimize solutions and tackle more complex computational problems efficiently.
5 Chapters
Concept Explanations & Warm up problems
Learn concepts with detailed explanations and illustrations. Wrap up with practice problems to apply what you've learned.
Challenge Problems
Apply what you've learned to various practice problems and identify any gaps in your understanding.
Test Problems
The final stage of each chapter consists of test problems that you must solve on your own, without solutions or discussion features. With a slightly higher difficulty level, these problems help you refine your skills.
1
Advanced Data Structures
Learn about maps, sets, priority queues, and linked lists. Understand how and when to use these structures in problem-solving.
HashMap
TreeMap
HashSet
TreeSet
Priority Queue
Doubly-LinkedList
2
Basic Optimization Techniques
Explore crucial techniques like prefix sum and grid compression to optimize time complexity in your algorithms.
Prefix Sum
Grid Compression
LR Technique
+1-1 technique
Preprocessing
Two Pointer
3
Parametric Search
Discover parametric search, an advanced application of binary search, and its problem-solving applications.
Binary Search
Parametric Search
4
Greedy Algorithms
Learn basic greedy strategies and how to apply them to solve various algorithmic problems.
Greedy Algorithm
Flippable Problem
5
Shortest Path Algorithms
Master essential algorithms for calculating shortest paths in graphs and solve problems using these techniques.
Dijkstra
Floyd Warshall
Ability to write efficient and optimized code for a wide range of problems
Proficiency in using advanced data structures commonly found in top-tier coding assessments
Confidence in solving around three quarters of intermediate to advanced coding challenges
Enhanced problem-solving skills for time and space complexity optimization
Can consistently write correct solutions but want to improve code efficiency
Seek to gain practical experience with advanced data structures like ordered sets, tree maps, and priority queues
Want to deepen their understanding of techniques like Two Pointer and Binary Search
Are preparing for coding assessments at leading tech companies
Aim to bridge the gap between solving problems and optimizing solutions