What are applications of category theory in various branches of mathematics and computer science?

Each module is designed to help a linear algebra student learn and practice a basic linear algebra procedure, such as Gauss-Jordan reduction. RSS Latest news from ILAS-NET · Conference Announcement - WSGT 2025 · Nordic Numerical Linear Algebra Workshop, Uppsala -- Aug 2025 · Upcoming ILAS elections-- ... This workshop aims to expose and engage junior researchers in the foundations and applications of linear algebra over finite fields. linalg.eig can take a second matrix argument for solving generalized eigenvalue problems. Some functions in NumPy, however, have more flexible broadcasting ... A concrete, applied approach to matrix theory and linear algebra. Topics include matrices and their connection to systems of linear equations, Gauss-Jordan ... MATH 235: Linear Algebra. 3 credit hours. Prerequisite: MATH 232. Study of linear transformations, matrices and vector spaces. CONTACT. Mar 14, 2016 ... Linear algebra can be considered the study of vector spaces and natural operations upon them. Using the tools of linear algebra, such as ... A fresh approach to numerical linear algebra in Julia. The purpose of this package is partly to extend linear algebra functionality in base to cover generic ... AMS 210, Applied Linear Algebra. Catalog Description: An introduction to the theory and use of vectors and matrices. Matrix theory including systems of ... A novel open-source inquiry-based learning approach to linear algebra. The emphasis is on active learning and developing intuition through investigation of ...