This course is focused on the question: How do we do matrix computations with acceptable speed and acceptable accuracy? This course was taught in the University of San Francisco's Masters of Science ...

Numerical linear algebra is the intersection of numerical analysis and linear algebra and, more precisely, focuses on practical algorithms for solving on a computer problems of linear algebra. A norm ...

This paper considers rank of a rhotrix and characterizes its properties, as an extension of ideas to the rhotrix theory rhomboidal arrays, introduced in 2003 as a new paradigm of matrix theory of ...

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

Immersive Math was developed over the span of three years by a three-man team with academic backgrounds in mathematics, computer graphics, and image coding. The team, who worked on the project on a ...

Linear algebra is rarely described as popular, but rarely does a mathematician portray it in a different, illuminating light. That is certainly one reason Gilbert Strang’s linear algebra lectures are ...