Time complexity

Related lectures (29)

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Explores algorithm growth, search complexities, and logarithmic properties in depth, with practical exercises included.

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

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

Covers the complexity analyses of algorithms and their worst-case time complexities.

Explores the theory of computability, decision problems, complexity classes, and the 'P vs. NP' conundrum.

Covers the analysis of algorithm efficiency and optimizing code for faster execution.

Covers the design of slides for educational videos and discusses time complexity, diffraction basics, and Shuttle control systems.

Explores dynamic programming for efficient problem-solving, illustrated with binomial coefficients and Pascal's triangle.

Covers the analysis of worst time complexity for algorithms and time complexity with real numbers and integers.

Explores binary search fundamentals, efficiency, and temporal complexity in algorithmic searching.