Best, average, and worst-case behaviors using asymptotic notations like Big-O, Omega, and Theta.
The 3rd edition of the book is designed to aid in exam preparation.
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Comprehensive Guide to Design and Analysis of Algorithms by Gajendra Sharma It is the foundation upon which efficient software,
Dijkstra’s algorithm and its limitations with negative edge weights. 4. Dynamic Programming (DP)
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For problems where algorithmic choices must be systematically searched and undone if they fail, the book outlines explicit state-space trees for: -Queens Problem Graph Coloring Hamiltonian Cycles Traveling Salesperson Problem (TSP) via Branch-and-Bound 7. NP-Hard and NP-Complete Problems