An introduction to proofs and the axiomatic methods through a study of the vector space axioms. Linear analytic geometry. Linear dependence and independence, subspaces, basis. Inner products. Matrix ...

Linear algebra has become the ... finding independent columns of small matrices, leading to the key concepts of linear combinations and rank and column space. From there it passes on to the classical ...

Introduces the fundamentals of linear algebra in the context of computer science applications. Includes vector spaces, matrices, linear systems, and eigenvalues. Includes the basics of floating point ...

This title is available on our Higher Education website. Using a modern matrix-based approach, this rigorous second course in linear algebra helps upper-level undergraduates in mathematics, data ...

Linear transformations. Linear operators, change of basis, inner product and the diagonalization problem. Quadratic forms. Convex sets and geometric programming, input/output models for an economy, ...