One is to complete the discussion of bases and dimension in linear algebra. In a first course, only the finite dimensional vector spaces are treated, and in most textbooks, it will assume the scalar ...

Basics of Vectors 📐 Welcome to the "nlp-2.0-linear-algebra" repository, where we dive into the fundamentals of vectors. In this space, we explore essential concepts in linear algebra that form the ...

Is it possible to find the sparsest vector (direction) in a generic subspace S ⊆ ℝ p with dim (S) = n <; p? This problem can be considered a homogeneous variant of the sparse recovery problem and ...