# matrix algebra in a sentence

## SentencesMobile

- In computational matrix algebra, iterative methods are generally needed for large problems.
- The study of matrix algebra first emerged in England in the mid-1800s.
- More generally every real geometric algebra is isomorphic to a matrix algebra.
- Block matrix algebra arises in general from biproducts in categories of matrices.
- Among them, analytic geometry and matrix algebra, which are important for higher dimensions.
- Someone discovered that matrix algebra seemed to describe accurately some fundamental law of nature.
- Her work in general focused on linear and matrix algebra.
- It was matrix algebra that harnessed the hypercomplex systems.
- Commonly used types of data include matrix algebra.
- It has a much wider scope than just matrices, but the matrix algebra intro is very accessible.
- It's difficult to see matrix algebra in a sentence .
- This simplifies the control problem to a series of direct matrix algebra calculations that are fast and robust.
- Their method does not use matrix algebra and therefore it can be implemented in a low-level programming language.
- Spinor spaces were represented as left ideals of a matrix algebra in 1930, by minimal left ideal in.
- The analytical and computational development are best effected throughout by means of matrix algebra, solving partial differential equations.
- As a complex algebra, it is central simple and so isomorphic to a matrix algebra over "'C " '.
- For some kernel functions, matrix algebra can be used to calculate the predictions, as described in the kriging article.
- As a matrix algebra, therefore, it acts on 2 " k "-dimensional column vectors ( with complex entries ).
- These theorems are elegant developments in matrix algebra, proving relations that had been previously known only for particular cases.
- Answering such questions is the realm of spectral theory and requires considerable background in functional analysis and matrix algebra.
- A semisimple algebra over the reals is a direct sum of complete matrix algebras over the reals, complex numbers, and quaternions.

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