Tensor Cookbook: Mastering Tensors through Diagrams
Tensor networks use graphical notation to simplify high-dimensional tensor manipulation, overcoming the complexity of traditional index notation. The book introduces fundamental operations, decompositions like CP and Tucker, and a graphical calculus for computing gradients. This framework allows for transparent proofs of classical identities and efficient handling of complex probability distributions.