Lectures related to Composite of Applications

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

Covers the basics of matrix multiplication, including properties and examples.

Explores the properties of invertible matrices, including unique solutions and linear independence.

Covers the concept of basis, linear transformations, matrices, inverses, determinants, and bijective transformations.

Covers recursion trees, the maximum subarray problem, and matrix multiplication approaches.

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

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

Explores properties of 3x3 matrices with real coefficients and determinant calculation methods.

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

Covers matrix multiplication, properties, and the identity matrix in algebraic operations.

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

Covers matrix product, inverses, and properties of invertible matrices.

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

Explores matrix operations, coefficients, multiplication properties, and the power of matrices.

Covers the fundamentals of linear equations, matrices, and systems of linear equations, including matrix operations and solutions.

Discusses matrix multiplication using divide-and-conquer techniques and introduces Strassen's algorithm for improved efficiency.

Covers the basics of parallelism, including physical examples, historical context, multicore era, and parallel collections in Scala.

Covers linear equations, characteristic polynomials, solutions, and matrices with operations like addition and multiplication.

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

Covers the properties and applications of matrix operations and their convergence in series.