Lectures related to Dynamic Programming: Longest Common Subsequence

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

Covers the basic operations on matrices, including addition, scalar multiplication, and matrix multiplication.

Introduces key concepts in linear algebra, including matrices, operations, and numerical invariants.

Covers linear algebra operations and applications, including matrix multiplication and eigenvalues.

Explores the complexity of matrix computations, focusing on low rank approximation algorithms and their applications.

Covers divide-and-conquer in matrix multiplication, recursion trees, the master method, maximum-subarray problem, and smart algorithm.

Covers linear applications, matrices, injectivity, surjectivity, and matrix multiplication properties.

Covers matrix multiplication, properties, and inverses in linear algebra.