Advanced Physics I: Kinetic Energy

Related lectures (24)

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

Covers the properties of vectors, including commutativity, distributivity, and linearity.

Covers the basics of programming in Matlab, focusing on interactive usage, mathematical operations, vectors, matrices, strings, and 3D matrices.

Covers the principles of quantum physics, focusing on tensor product spaces and entangled vectors.

Introduces vector definitions, displacement, addition, and applications in geometry.

Introduces scalars and vectors, explaining their properties and mathematical operations.

Explores properties and interpretations of vectors in space, including mixed product and linear dependence.

Covers linear equations, vectors, and matrices, exploring their fundamental concepts and applications.

Explores orthogonality between vectors and subspaces, demonstrating practical implications in matrix operations.

Introduces mechanics, differential and vector calculus, and historical perspectives from Aristotle to Newton.