關於「Tensor dot product」標籤，搜尋引擎有相關的訊息討論：

What is the double dot (A:B) product between tensors A(ij) and B(lm)?。

Related to Tensor double dot product: What is the double dot (A:B) product between tensors ... [1] Hitchcock, F.L. & Rice, L.H.: The Multiple ...： tw | tw。

APPENDIX A TENSORS, TENSOR PRODUCTS AND TENSOR ...。

S) for the covariant vectors gj' the contravariant vectors gi, and the scalar gl/2 associated with spherical polar coordinates. E2.2-S Using equations (A.7.19) ...。

Tensor - Wikipedia。

In mathematics, a tensor is an algebraic object that describes a multilinear relationship between sets of algebraic objects related to a vector space.： tw | tw。

Dot product - Wikipedia。

In mathematics, the dot product or scalar product is an algebraic operation that takes two equal-length sequences of numbers (usually coordinate vectors), ...： 。

numpy.tensordot — NumPy v1.21 Manual。

Compute tensor dot product along specified axes. Given two tensors, a and b, and an array_like object containing two array_like objects, (a_axes, ...： 。

[PDF] Tensor Networks for Simulating Quantum Circuits on FPGAs - arXiv。

2021年8月17日 · More usefully, we can express matrix-vector multiplication in terms of ... of the tensor network and tw (GL) is the tree-width15 of GL.。

[PDF] Tensor-Tensor Products with Invertible Linear Transforms。

2014年7月28日 · Vectors in Cn will be in lowercase with a vector symbol atop them, and matrices will be bold and uppercase: e1,v ∈ Cn;X ∈ Cn×n. Tensors will ...。

[PDF] 0 Vector and Tensor Algebra - ETH Zürich。

2017年6月19日 · m(gi · gk)(gj · gl)...(gn · gm) = Sij...nTij...n. As a consequence, we recover the inner product of two vectors ...。

[PDF] Tutorial: A brief survey on tensor rank and tensor decomposition ...。

Let Vi be vector spaces over K = R or C. A tensor is an element f ∈ V1 ⊗ . ... GL(nk). Giorgio Ottaviani. Tutorial on Tensor rank and tensor decomposition ...。

Global Lorentzian Geometry。

Here nondegenerate means that for each nontrivial vector V e TAM there is some W e ... to the condition that the determinant of the matrix (g) be nonzero.