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P vs NP: Complexity Theory
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Understanding Complexity: Algorithms and NP Problems
Covers complexity classes, tractable problems, the class NP, NP-complete problems, and summarizes the concept of tractable problems.
Understanding Complexity: Tractable Problems and NP-Complete
Covers complexity classes, effect on computer time, tractable problems, class NP, and NP-complete problems.
Algorithmic Complexity: Travel Time Analysis
Covers algorithmic complexity and travel time analysis, focusing on measuring the time taken by algorithms and evaluating their performance.
Algorithmic Complexity: Theta Notation
Explores algorithmic complexity, comparing growth rates using Theta notation and characterizing different complexity classes.
Optimization Algorithms
Covers optimization algorithms, convergence properties, and time complexity of sequences and functions.
Knapsack Problem: Optimization and Traveling Salesman
Explores the knapsack problem and the traveling salesman problem with a focus on optimization algorithms.