Composite of Applications

Related lectures (31)

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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.