Matrix multiplication algorithm

Related lectures (31)

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Covers the concept of composite of applications and the importance of certain hypotheses in matrix multiplication.

Explores dynamic programming with a focus on the Longest Common Subsequence problem and its efficient solutions.

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

Explores dynamic programming with a focus on matrix-chain multiplication and the importance of optimal substructure.

Delves into dynamic programming with a focus on Matrix Chain Multiplication and the longest common subsequence problem.

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

Explores matrix computation complexity, known algorithms, and structured solvers' impact.

Explores the Gauss representation of complex numbers, focusing on addition, multiplication, bases, and vector space dimensions.

Introduces the concept of vector spaces and covers properties of vectorial subspaces.

Covers the basics of vector spaces, including operational definitions, properties, examples in RN, inner products, norms, and distances.