INTRODUCTION

BOOK DESCRIPTION:

“You can’t learn too much linear algebra”. Benedict Gross, Professor of Mathematics at Harvard.

This book offers a guided tour of linear algebra and its applications, one of the most important building blocks of modern engineering and computer sciences.

Topics include matrices, determinants, vector spaces, eigenvalues and eigenvectors, orthogonality, and inner product spaces; applications include brief introductions to difference equations, Markov chains, and systems of linear ordinary differential equations.

Rationale: Linear algebra is an important building block in engineering and computer sciences. It is applied in many areas such as search engines, data mining and machine learning, control and optimization, graphics, robotics, etc.