Dynamic Programming: Matrix Chain Multiplication

Related lectures (30)

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Explores optimal substructure and recursive formula in matrix chain multiplication using dynamic programming.

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

Introduces dynamic programming with a focus on rod cutting and matrix chain multiplication.

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

Explores vector space operations, linear transformations, matrix representation, and linear applications.

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

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

Covers matrix addition, scalar multiplication, transposition, symmetry, and antisymmetry properties.

Covers matrix operations and properties of matrices, including symmetric and anti-symmetric matrices.

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