Her work in general focused on linear and matrix algebra.

When last heard of he was teaching matrix algebra at a theological college in Denver.

Participants are expected to have a working knowledge of linear models and matrix algebra.

He also worked on group theory and matrix algebra.

Matrix algebra will be used to fit the models.

Matrix algebra is used and important results are proved.

By counting dimensions, A is a complete 2x2 matrix algebra over the complex numbers.

All of the computations can be reduced to 2x2 matrix algebra.

Knowledge of simple matrix algebra, although not essential, would be very helpful in understanding and working through these topics.

Large scale matrix algebra problems arise in a wide variety of applications.

The study of matrix algebra first emerged in England in the mid-1800s.

Knowledge of matrix algebra, differential calculus or likelihood theory is not required.

Nevertheless, the same result can be reached avoiding matrix algebra, which is more geometrical.

More generally, one can consider finite direct sums of matrix algebras.

In computational matrix algebra, iterative methods are generally needed for large problems.

Familiarity with matrix algebra is desirable, but not essential.

Introduction to sets, groups, fields, matrix algebra and vector spaces.

S parameters can be converted to another parameter set using standard matrix algebra operations.

Matrix algebra techniques are essential to manipulating finite sequences of data.

If you wish you can get an early start on this part by looking at my description of matrix algebra preparation for the course.

Note that unlike most matrix algebras, this is a commutative algebra.

Their method does not use matrix algebra and therefore it can be implemented in a low-level programming language.

In addition to these rules, general rules apply to polynomial and matrix algebras.

Calculus and matrix algebra will be used and are pre-requisites for the course.

Elements of matrix algebra as applied to networks.