Tensor algebra

Related lectures (11)

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Covers tensor algebras, symmetric and exterior algebras, and tensor products of modules.

Explores signature kernels, feature maps, tensor algebras, and their applications in data science and machine learning.

Covers measurability, independence of sets, sigma-algebras, cylinder sets, co-algebras, uniqueness, and extension of measures.

Explores multilinear forms in linear algebra, emphasizing their properties and applications.

Explores tensor spaces, unitary representations, and prime factorization in mathematical presentations.

Explores synchrotrons, X-ray imaging techniques, nanomagnetism, and biological structures at multiple length scales.

Explores simple models, electronic structure evaluation, and machine learning at the atomic scale.

Covers the properties of tensors and their applications in various fields.

Covers tensor products, symmetric power, and exterior power of vector spaces, including properties and applications.

Covers the transfer of model structures through adjunctions in the context of model categories.