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GATE CS Algorithms
Syllabus structure & chapters
Complete syllabus outline for GATE CS Algorithms. Click on any chapter below to explore subtopics, key concept highlights, expected questions, and start practicing mock tests specifically customized for GATE CS preparation.
Algorithm Analysis
Asymptotic Worst-Case Time and Space Complexity, Algorithm Design Techniques, Recursive Algorithms and Recurrence Relations
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Searching, Sorting and Hashing
Comparison Sorts: Merge, Quick, Heap, Counting and Radix Sort, Hashing: Chaining and Open Addressing
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Graph Algorithms
BFS, DFS and Applications, Shortest Paths: Dijkstra, Bellman-Ford, Minimum Spanning Tree: Prim, Kruskal, Topological Sort
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Algorithm Design Paradigms
Greedy Algorithms, Divide and Conquer, Dynamic Programming
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Complexity Classes
Polynomial Time: P, NP, NP-Complete, NP-Hard, Reductions and Cook-Levin Theorem
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