Advanced Algorithms II
Conquering challenges
Code Trail6 of 6
Elevate your algorithmic skills with complex concepts such as Tree algorithms, Topological Sort, and Disjoint Set. This trail empowers you to handle intricate data structures and algorithms.
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 Tree Algorithms
Learn about binary tree traversals, tree-based dynamic programming, and Lowest Common Ancestor algorithms.
Tree
Traversal
Tree
Lowest Common Ancestor
2
Minimum Spanning Trees
Understand the concept of disjoint sets and how to use them in algorithms for finding Minimum Spanning Trees.
Disjoint Set
Kruskal
Prim
3
Topological Sort
Explore topological sorting in graphs and its applications in dynamic programming problems.
Topological Sort
Graph
4
Fundamental String Algorithms
Learn essential string algorithms and data structures like Knuth-Morris-Pratt and Trie.
Manacher's algorithm
String Hashing
KMP
Trie
5
Advanced Dynamic Programming
Tackle challenging dynamic programming problems, including Bitonic DP and Bit-masking DP techniques.
Bitonic Cycle
DP that scales from small to large intervals
Bitmask
Bitmask DP
Ability to select and implement appropriate data structures and algorithms for diverse problem scenarios
Proficiency in writing efficient and optimized code for complex algorithmic challenges
Confidence in tackling a wide range of advanced coding problems, including those found in top-tier tech company assessments
Enhanced understanding of advanced tree algorithms, graph theory, and string processing techniques
Can consistently write correct solutions and want to focus on advanced optimization techniques
Seek to broaden their knowledge of complex algorithms like Disjoint Set, Dijkstra's algorithm, and Minimum Spanning Trees
Want to deepen their understanding of tree-based algorithms and dynamic programming
Aim to master advanced problem-solving strategies for competitive programming
Desire to refine their skills in tackling the most challenging coding assessment problems