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Design and Analysis of Algorithm
Design Techniques: Divide and Conquer, The Greedy Method, Dynamic Programming, Elementary Graph Algorithms, Additional Topics.
[Show more]Design Techniques: Divide and Conquer, The Greedy Method, Dynamic Programming, Elementary Graph Algorithms, Additional Topics.
[Show more]Design Techniques: Divide and Conquer: General Method, Binary Search, Finding Maximum and Minimum, Strassen’s Matrix Multiplication The Greedy Method: General Method: Knapsack Problem, Tree Vertex Splitting problem. Dynamic Programming: General Method, Multi-Stage Graph, String Editing. Backtrac...
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Add to cartDesign Techniques: Divide and Conquer: General Method, Binary Search, Finding Maximum and Minimum, Strassen’s Matrix Multiplication The Greedy Method: General Method: Knapsack Problem, Tree Vertex Splitting problem. Dynamic Programming: General Method, Multi-Stage Graph, String Editing. Backtrac...
Elementary Graph Algorithms: Representations of Graphs, Breadth First Search, Depth First Search, Minimum Spanning Trees: Kruskal and Prim’s Algorithms, Single Source Shortest Paths, All Pair Shortest Paths, Maximum Flow.
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Add to cartElementary Graph Algorithms: Representations of Graphs, Breadth First Search, Depth First Search, Minimum Spanning Trees: Kruskal and Prim’s Algorithms, Single Source Shortest Paths, All Pair Shortest Paths, Maximum Flow.
Additional Topics: String Matching, NP-Completeness: P and NP, NP-Completeness, Important NPComplete problems, Approximation Algorithms, Randomized Algorithms.
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Add to cartAdditional Topics: String Matching, NP-Completeness: P and NP, NP-Completeness, Important NPComplete problems, Approximation Algorithms, Randomized Algorithms.
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