Computing Majority of N Using Majority-K Circuits with Logarithmic Depth
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a detailed seminar talk from the Kolmogorov Seminar series that delves into computational complexity theory, focusing on Valiant's probabilistic construction for computing majority functions. Learn about the extension of the classical majority-of-three (Maj_3) construction to majority-of-k (Maj_k) elements, examining how the probability estimates become more complex in this generalization. Understand the mathematical foundations behind computing the majority of n bits using AND and OR operations of arity 2 with logarithmic depth, and discover how the error probability analysis changes when scaling beyond the traditional three-input majority gates. The presentation explores the intricate relationship between circuit depth, input size, and error probability in these fundamental computational structures.