As the notation suggests, we can turn a system of linear equations into a matrix equation and study it using matrix methods.

College of Mathematics and Statistics, Northwest Normal University, Lanzhou, China. Department of Public Courses, Gansu College of Chinese Medicine, Lanzhou, China. In the paper, a class of fuzzy ...

Sparse methods are primarily valuable for systems in which the number of non-zero entries is substantially less than the overall size of the matrix. Such situations are common in physical systems, ...

School of Mathematics and Science, Shijiazhuang University of Economics, Shijiazhuang, China. has attracted many people’s attention and many results have been obtained about system (2) with various ...

Large sparse matrices appear in scientific applications in numerous fields including discretized PDEs, optimization problems, circuit design, structural dynamics and many more. Solving large sparse ...

Abstract: This technical note provides necessary and sufficient conditions to determine that a linear system with more than one matrix in its state-space representation can be decomposed into cascade ...

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that map math variables, instead of representing information using abstraction ...