Discussion of Complexity

Related lectures (23)

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Covers algorithmic complexity and travel time analysis, focusing on measuring the time taken by algorithms and evaluating their performance.

Provides an overview of essential search and sort algorithms in computer science.

Explores critical phenomena in complex systems, including stochastic objects, percolation, and combinatorial optimization.

Covers the basics of algorithms in computer science, including their formalization and complexity.

Delves into complexity theory, focusing on the P vs NP problem and the classification of computational problems based on efficiency.

Explores the Curie-Weiss model, spin glasses, and optimization problems in statistical physics.

Explores algorithm complexity, time complexity estimation, Landau notations, and asymptotic behavior analysis.

Explores complexity classes P and NP, highlighting solvable and verifiable problems, including NP-complete challenges.

Covers the time complexity of algorithms and includes a quiz.

Delves into the theory of computation, covering decidability, complexity, P vs. NP, and reductions.