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Algorithms for NP-Hard Problems (Section 23.2: Decision, Search, and Optimization)
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Before defining the set of “problems solvable by naive exhaustive search”—the complexity class NP—let’s step back and categorize the different types of input-output formats we’ve seen for computational problems.
Algorithms for NP-Hard Problems (Section 19.0: Overview and Prerequisites)
Algorithms for NP-Hard Problems (Section 23.2: Decision, Search, and Optimization)
Algorithms for NP-Hard Problems (Section 19.1: The Algorithmic Mystery of MST vs. TSP)
Algorithms for NP-Hard Problems (Section 23.3: NP: Problems with Easily Recognized Solutions)
Algorithm for NP-Hard Problems (Section 19.5: A Simple Recipe for Proving NP-Hardness)
Algorithms for NP-Hard Problems (Section 19.6: Rookie Mistakes)
Algorithms for NP-Hard Problems (Section 24.5: The Final Outcome)
Algorithms for NP-Hard Problems (Section 19.4: Algorithmic Strategies for NP-Hard Problems)
Algorithms for NP-Hard Problems (Section 22.5: Directed Hamiltonian Path Is NP-Hard)
Algorithms for NP-Hard Problems (Section 20.4: The 2-OPT Heuristic for the TSP) [Part 1 of 2]
Algorithms for NP-Hard Problems (Section 23.4: The P!=NP Conjecture)
Algorithms for NP-Hard Problems (Section 23.6: NP-Completeness)
Algorithms for NP-Hard Problems (Section 22.3: The Big Picture)
Algorithms for NP-Hard Problems (Section 24.3: Feasibility Checking) [Pt 1/2]
Algorithms for NP-Hard Problems (Section 23.1: Amassing Evidence of Intractability)
Algorithms for NP-Hard Problems (Section 22.1: Reductions Revisited)
Algorithms for NP-Hard Problems (Section 21.1: The Bellman-Held-Karp Algorithm for TSP) [Part 1/2]
Algorithms for NP-Hard Problems (Section 21.3: Problem-Specific Algorithms vs. Magic Boxes)
Algorithms for NP-Hard Problems (Section 20.2: A Greedy Heuristic for Maximum Coverage) [Part 1/2]
8. NP-Hard and NP-Complete Problems
Algorithms for NP-Hard Problems (Section 21.5: Satisfiability Solvers)
Algorithms for NP-Hard Problems (Section 24.3: Feasibility Checking) [Pt 2/2]
Algorithms for NP-Hard Problems (Section 20.5: Principles of Local Search) [Part 1 of 2]
Algorithms for NP-Hard Problems (Section 23.5: The Exponential Time Hypothesis)
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