THE vector analysis of Gibbs and Heaviside and the more general tensor analysis of Ricci are now recognized as standard tools in mechanics, hydro-dynamics and electrodynamics. Their use not only ...

"An unabridged corrected republication of the first edition." https://siris-libraries.si.edu/ipac20/ipac.jsp?&profile=liball&source=~!silibraries&uri=full=3100001 ...

Researchers have created a new system that automatically produces code optimized for sparse data. We live in the age of big data, but most of that data is "sparse." Imagine, for instance, a massive ...

Abstract: The notion of a tensor is developed in terms presumed familiar to the reader; tensors are shown to be a natural outgrowth and extension of vectors and matrices. The paper begins with an ...

Classical regression methods treat covariates as a vector and estimate a corresponding vector of regression coefficients. Modern applications in medical imaging generate covariates of more complex ...

Abstract: Current state-of-the-art sparse tensor formats achieve memory-efficient representations but often require extensive indexing or precomputation, thus limiting their flexibility and efficiency ...

The size of tensor a (1024) must match the size of tensor b (16) at non-singleton dimension 2 #33 Closed workingshem opened on Mar 27 ...