P (complexity)

Related lectures (31)

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

Covers Promise Constraint Satisfaction Problems complexity, width, graph coloring, polymorphisms, and algorithms.

Covers the basics of time complexity and Landau notation, focusing on understanding the concepts and their applications in algorithms.

Introduces greedy algorithms and matroids, highlighting their efficiency in solving optimization problems.

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

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

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

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

Explores algorithm complexity, analyzing efficiency and worst-case scenarios of sorting algorithms.

Covers the fast exponentiation algorithm and its time complexity, prime number properties, and the El-Gamal encryption scheme.

Covers quantum algorithms, complexity classes, Grover's algorithm, and quantum information in computational complexity.

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