The reflexive and anti-reflexive matrices have wide applications in information theory, linear estimate theory and numerical analysis. In this paper, we will consider the matrix equations (I) A₁XB₁ = ...

SIAM Journal on Numerical Analysis, Vol. 12, No. 4 (Sep., 1975), pp. 617-629 (13 pages) The method of conjugate gradients for solving systems of linear equations with a symmetric positive definite ...

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

Introduces ordinary differential equations, systems of linear equations, matrices, determinants, vector spaces, linear transformations, and systems of linear differential equations. Prereq., APPM 1360 ...

How to Use Excel's Functions to Solve Systems of Equations. Excel can solve equations through several of its mathematical functions, but the single Excel tool that works on the largest variety of ...

Random matrix theory (RMT) has emerged as a powerful framework for analysing complex systems across physics, statistics and beyond, by examining the statistical properties of matrices with random ...