Lectures related to Needleman-Wunsch Algorithm: Sequence Alignment

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

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

Covers classical and quantum computational complexity concepts and implications.

Covers proofs of Big-O using witnesses and rules to analyze algorithm complexity.

Explains Big-O notation for algorithm complexity analysis through polynomial examples and growth rate identification.

Analyzes the growth of functions to understand algorithm complexity and efficiency.

Covers the Big-O notation to analyze algorithm efficiency and provides examples of polynomial and factorial function estimates.

Covers Dijkstra's algorithm and its application to the all-pairs shortest path problem.