Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data ...

From Tzuong-Tsieng Moh, a seasoned expert in algebra, comes a new book for students to better understand linear algebra. Writing from an experienced standpoint, Moh covers the many standard aspects ...

A First Course in Linear Algebra is written by two experts from algebra who have more than 20 years of experience in algebra, linear algebra and number theory. It prepares students with no background ...

Explore the UP TGT Maths Syllabus 2025, including section-wise topics, detailed exam pattern, prep tips, and PDF download ...

PDF for Mathematics from the official Rajasthan Board website. Access chapter-wise details for mathematics with the link to ...

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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.

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MA220 - Linear Algebra Matrix algebra and Gaussian elimination. The geometry of vectors in R2, R3 and Rn. Vector spaces and linear transformation. Introduction to orthogonal geometry and eigenvalue ...

This paper uses tools from matrix algebra over commutative rings to simplify the design of parity-check (PC) matrices for Quasi-cyclic (QC) low-density parity-check (LDPC) codes. These tools are also ...