Composite of Applications

Related lectures (31)

Page 3 of 4

Explores upper triangular block matrices, invertibility, elementary transformations, and determinants with examples.

Explores theoretical and practical aspects of fast matrix-matrix multiplication algorithms and their significance in computer science.

Explains derivatives of composite functions and the chain rule theorem, emphasizing the importance of understanding function composition.

Covers O-Notation, local extrema, and critical points in functions.

Covers matrix notation, arithmetic, multiplication algorithms, and complexity analysis.

Covers the definitions and properties of matrices, including matrix operations and determinants.

Covers the multiplication of vectors and matrices using MATLAB and Octave for beginners.

Covers matrix operations, including multiplication, transposition, powers, and inverses, and explains how to determine if a matrix is invertible.

Covers the concept of diagonalizability of matrices and explores eigenvalues and eigenvectors.

Covers the basics of matrix inversion, properties of matrix multiplication, and the uniqueness of matrix inverses.