Computer based solution of systems of algebraic equations obtained from engineering problems and eigen-system analysis, Gaussian elimination, effect of round-off error, operation counts, banded ...

Linear Algebra has been used in various engineering fields, such as machine learning, robotics, and artificial intelligence. However, learning it geometrically remains a challenging task, because it ...

<P>This chapter on linear algebra first discusses calculation of determinants and rank, norm of a matrix, and inversion of matrices. Next, it deals with solution of linear algebraic systems of ...

The book is an introduction to Linear Algebra with an account of its principal applications. It is addressed to students of mathematics, the physical, engineering and social sciences, and commerce.

Numerous applications of linear algebra are described, including systems of linear recurrence relations, systems of linear differential equations, Markov processes, and the Method of Least Squares. An ...

Introduces the fundamentals of linear algebra in the context of computer science applications. Includes vector spaces, matrices, linear systems, and eigenvalues.

Applications of linear algebra appear again and again and again in engineering, science, and especially numerical computations. A strong foundation in linear algebra will be invaluable in any ...