Linear Algebra Vector spaces, linear transformation, matrix representation, inner product spaces, isometries, least squares, generalised inverse, eigen theory, quadratic forms, norms, numerical ...

It consists of the linear algebra part of MA212, covering the following topics: Vector spaces and dimension. Linear transformations, kernel and image. Real inner products. Orthogonal matrices, and the ...

A range of basic mathematical concepts and methods in calculus of one and several variables and in linear algebra are covered and some applications illustrated. It is an essential pre-requisite for ...

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

Gerald J. Porter, Linear Algebra and Affine Planar Transformations, The College Mathematics Journal, Vol. 24, No. 1 (Jan., 1993), pp. 47-51 ...

T. Kambayashi, Projective Representation of Algebraic Linear Groups of Transformations, American Journal of Mathematics, Vol. 88, No. 1 (Jan., 1966), pp. 199-205 ...