L (complexity)

Related lectures (30)

Explores algorithm complexity, big-O notation, induction, recursion, and analysis of running times, covering NP problems and complexity classes.

Explores interactive proofs, zero-knowledge, parallel composition, and cryptographic protocols.

Explores optimizing hash tables through rehashing for improved performance.

Covers worst-case complexity, algorithms, and proofs including mathematical induction and recursion.

Explores worst-case complexity, mathematical induction, and algorithms like binary search and insertion sort.

Explores algorithmic complexity, comparing growth rates using Theta notation and characterizing different complexity classes.

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

Covers complexity classes, tractable problems, the class NP, NP-complete problems, and summarizes the concept of tractable problems.

Covers complexity classes, effect on computer time, tractable problems, class NP, and NP-complete problems.

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

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