Learn about NP-Hard Problems in DAA, including definition, characteristics, examples like TSP optimization and Knapsack, difference between NP-Hard and NP-Complete, and complexity hierarchy. NP-Hard Problems in DAA Introduction In algorithm…
Learn about NP-Complete Problems in DAA, including definition, characteristics, Cook-Levin Theorem, SAT, polynomial-time reduction, examples like TSP and Vertex Cover, and their role in P vs NP. NP-Complete Problems in…
Learn about Class NP Problems in DAA, including definition, characteristics, examples like Hamiltonian Cycle and TSP, relationship with P and NP-Complete, and the P vs NP problem. Class NP Problems…
Learn about Class P Problems in DAA, including definition, polynomial time complexity, characteristics, examples like sorting and graph algorithms, and comparison between P and NP classes. Class P Problems in…
Learn about Non-Deterministic Algorithms in DAA, including definition, working principle, guessing and verification stages, comparison with deterministic algorithms, relationship with NP class, and examples like Hamiltonian Cycle and Vertex Cover.…
Learn Computational Intractability in DAA, including P, NP, NP-Complete, and NP-Hard problems. Understand why some problems require exponential time and how approximation and heuristic methods help. Computational Intractability in DAA…
Learn the Vertex Cover Problem in DAA using Backtracking. Understand the problem statement, minimum vertex cover, algorithm, example, time complexity O(2^E), and applications in networking and optimization. Vertex Cover Problem…
Learn the Hamiltonian Circuit Problem in DAA using the Backtracking method. Understand the algorithm, isSafe condition, difference between Hamiltonian Path and Circuit, time complexity O(N!), and applications like TSP. Hamiltonian…
Learn the Sum of Subsets Problem in DAA using Backtracking. Understand the algorithm, state space tree, pruning conditions, time complexity O(2ⁿ), examples, and real-world applications. Sum of Subsets Problem in…
Learn the N–Queen Problem in DAA using the Backtracking method. Understand the algorithm, isSafe condition, 4-Queen example, time complexity O(N!), space complexity, advantages, and limitations. N–Queen Problem in DAA Introduction…
Mr. Santosh Nalawade