matrix algebra

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Related to matrix algebra: matrix multiplication

matrix algebra

[′mā·triks ′al·jə·brə]
(mathematics)
An algebra whose elements are matrices and whose operations are addition and multiplication of matrices.
References in periodicals archive ?
Solving the four simultaneous equations by hand is relatively easy, but as the number of departments grows, it's convenient to use matrix algebra and a computer to find the solution.
Conversion from nonstandard matrix algebras to standard factors of type I[I.
While the use of Markov chains to estimate collections of accounts receivable is not new, the ability to use Microsoft Excel to perform the needed matrix algebra calculations is.
You don't have to be a theoretician to appreciate this book, but you would be well-advised to brush up on basic concepts of calculus and matrix algebra, and to have had at least an introduction to basic mathematical population biology such as that provided by two recent textbooks at the advanced-undergraduate level (Gotelli, Nicholas.
algebra, can be written as a direct sum of simple matrix algebras [M.
Background in object-oriented programming, Java and its Abstract Window Toolkit, Java configuration details, event-driven programming, basic matrix algebra and trigonometry, and awareness of color models is assumed.
Montgomery and Runger offer this applied statistics text for undergraduates, designed to be accessible with one or two semesters of calculus and some matrix algebra.
By the time we get to sampling variance of parameter estimates, the readers had better be up on their calculus and matrix algebra.
Taylor series, eigenanalysis, matrix algebra, finding equilibria, evaluating stability) are presented in 21 boxes scattered throughout the text.
This gives them a feel for the modeling aspect of the method early in the course, he says, and the analysis of Markov chains uses tools from matrix algebra, which students can access through popular matrix-oriented software packages to do numerical experimentation.
The book begins by articulating salient points about ecological data in particular, such as the many functional correlations that must be adjusted for without ascribing as-yet-unexplained variation to random noise, then covers the mathematical foundations of matrix algebra and dimensional analysis.
Readers also need some algebra and even matrix algebra unless they are willing to take some parts of the text on faith.

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