Lectures related to Subquadratic Attention Mechanisms: State Space Models Overview

Explores Fourier Transform, FFT algorithms, DFT implementation cost, and frequency division for efficient computation.

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

Explores the Fourier transform applied to circuit analysis and its properties.

Covers the introduction of discrete Fourier transform and its implications on signal reconstruction.

Explores constraints, efficiency, and complexity in linear algebra, emphasizing convexity and worst-case complexity in algorithm analysis.

Covers Fourier series, Fourier transforms, and convolution properties, including linearity and commutativity.