Analysis of algorithms

Related lectures (28)

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Covers the basics of distributed algorithms and their importance in building reliable and secure systems.

In this lecture, you will learn to use conditional statements in Scratch to create interactive programs.

Explains Optimal Binary Search Trees using dynamic programming and covers a midterm exam from 2016.

Covers techniques for solving recurrences and introduces the Master Theorem.

Delves into the complexity of factoring polynomials and the implications for security.

Explains Big-O notation for algorithm complexity and polynomial growth rates.

Covers the Master method, maximum-subarray problem, and divide-and-conquer algorithmic paradigm.

Covers the von Neumann Extractor and its extensions, aiming to derive and analyze an optimal extractor.

Explores the Simon Problem 4, analyzing quantum states and algorithm complexity.

Explores prime numbers, modular arithmetic, Wilson's theorem, and complexity analysis.