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Abstract: Linear algebra, the algebra of vectors and matrices ... In this exploratory signal processing article, we review a novel, multilinear (tensor) algebraic framework for image processing, ...

The key idea in Sat2Graph is a novel encoding scheme, graph-tensor encoding (GTE), which encodes the road graph into a tensor representation. GTE makes it possible to train a simple, non-recurrent, ...

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained ...

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This evolution has been propelled by specialized hardware like Tensor Processing Units (TPUs), which are purpose-built to handle the immense computational demands of AI workloads. Nikhila Pothukuchi ...

Contributed by Andrew V. Schally, May 26, 2021 (sent for review November 26, 2019; reviewed by Larry Benowitz, Masaru Inatani, and Chunqiao Liu) ...

We consider the multidimensional data as tensors instead of matrices or vectors, and propose a tensor rank-one decomposition (TROD) algorithm by decomposing Nth-order data into a collection of rank-1 ...

A total of 42 schools in a six-county region of Central New York saw 100% of their students test proficient on Algebra I Regents exams during the 2023-2024 school year, according to state data.

In a South Auckland school, a group of Year 8 students are doing maths. They’re covering basic algebra but it’s delivered in a uniquely New Zealand way that’s won attention internationally.

Solving one of the oldest algebra problems isn't a bad claim to fame, and it's a claim Norman Wildberger can now make: The mathematician has solved what are known as higher-degree polynomial equations ...