Matlab Programming Basics

Related lectures (27)

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Explores linear combinations of vectors and matrices in Rn, demonstrating geometric interpretations and matrix operations.

Discusses Dirac's character and projectors in high-dimensional spaces with matrices and vectors.

Covers the 'find' function in Matlab for testing criteria on vectors or matrices.

Covers linear transformations using matrices, focusing on linearity, image, and kernel.

Introduces Matlab programming, covering basic operations, matrix manipulations, and debugging.

Covers rotation matrices and transformations in mathematics, providing examples of rotating vectors in different dimensions.

Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.

Explores kinetic energy, diagonalization of matrices, Euler angles, and spinning top motion.

Explores the transformation of vectors and tensors, including rotations and representations in quantum physics.

Covers linear applications, matrices, transformations, and the principle of superposition.