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A basic introductory text for university undergraduates, intended over a two-week winter course
Linear algebra pertains to the study of multilinear systems These mathematical constructs also known as matrices Invented nearly 80 years ago as a way of modeling the algebraic manipulation of sets of lines on an 2-dimensional plane, these highly scalable linear operations have become common-place in areas of computer science (rendering, search, neural networks, NLP), economics (incidence matrices, frequency tables, classification models), electrical engineering (nodal analysis, KCL, KVL, p-SPICE, UHD Signal Processing), mathematics (vector calculus, tensor algebra), cosmology (analysis of black holes), and computer engineering (VHDL, Quantum hardware emulation, switching networks, branch prediction, register renaming)
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