The paper compares of the multidimensional matrix algebra and the tensor algebra. It is shown that tensor algebra operations are realized in the multidimensional matrix algebra more efficiently.

Overview. MATH 270 is suggested for students in the Science programs. The course covers systems of linear equations, matrices, inverse of a matrix, determinant, vectors in two-, three- and ...

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Called without an argument, it returns the values of main diagonal as a list. The main diagonal starts at the left upper corner (index [0][0]). Every next cell of the diagonal is reached by going one ...

Linear algebra is not just matrix-matrix-multiplications, but they are an important part of it. Lots of time was spent optimizing programming libraries for multiplying gigantic matrices on ...

Summary <p>This chapter helps the readers to understand the data, data structures used to contain it, and the manner in which they can perform simple tasks with those structures and to perform scalar, ...

Written by two top statisticians with experience in teaching matrix methods for applications in statistics, econometrics and related areas, this book provides a comprehensive treatment of the latest ...

Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...