Overview
Data Structures & Algorithms for NTA NET Computer Science & Applications
- Data Structures : Arrays and their Applications; Sparse Matrix, Stacks, Queues, Priority Queues, Linked Lists, Trees, Forest, Binary Tree, Threaded Binary Tree, Binary Search Tree, AVL Tree, B Tree, B+ Tree, B* Tree, Data Structure for Sets, Graphs, Sorting and Searching Algorithms; Hashing.
- Performance Analysis of Algorithms and Recurrences : Time and Space Complexities; Asymptotic Notation, Recurrence Relations.
- Design Techniques : Divide and Conquer; Dynamic Programming, Greedy Algorithms, Backtracking, Branch and Bound.
- Lower Bound Theory : Comparison Trees, Lower Bounds through Reductions.
- Graph Algorithms : Breadth-First Search, Depth-First Search, Shortest Paths, Maximum Flow, Minimum Spanning Trees.
- Complexity Theory : P and NP Class Problems; NP-completeness and Reducibility.
- Selected Topics : Number Theoretic Algorithms, Polynomial Arithmetic, Fast Fourier Transform, String Matching Algorithms.
- Advanced Algorithms : Parallel Algorithms for Sorting, Searching and Merging, Approximation Algorithms, Randomized Algorithms.
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Course Features
- Lectures 0
- Quizzes 0
- Duration 50 hours
- Skill level All levels
- Language English
- Students 1
- Assessments Yes