**Introduction to Applied Linear Algebra: Vectors, Matrices and Least Squares**

by Stephen Boyd, Lieven Vandenberghe

**Publisher**: Cambridge University Press 2018**ISBN-13**: 9781316518960**Number of pages**: 473

**Description**:

This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and artificial intelligence, signal and image processing, tomography, navigation, control, and finance.

Download or read it online for free here:

**Download link**

(7.5MB, PDF)

## Similar books

**Linear Algebra: Foundations to Frontiers**

by

**M.E. Myers, P.M. van de Geijn, R.A. van de Geijn**-

**ulaff.net**

This document is a resource that integrates a text, videos, and hands-on activities. It connects hand calculations, mathematical abstractions, and computer programming. It encourages you to develop the theory of linear algebra by posing questions.

(

**4134**views)

**Basic Linear Algebra**

by

**Andrew Baker**-

**University of Glasgow**

The text covers basic ideas and techniques of Linear Algebra that are applicable in many subjects including the physical and chemical sciences, and statistics. These notes were originally written for a course at the University of Glasgow.

(

**12330**views)

**Calculus and Linear Algebra. Vol. 1**

by

**Wilfred Kaplan, Donald J. Lewis**-

**University of Michigan Library**

The first volume covers vectors in the plane and one-variable calculus. The two volumes provide material for a freshman-sophomore course in calculus in which linear algebra is gradually introduced and blended with the calculus.

(

**5115**views)

**A First Course in Linear Algebra: Study Guide for the Undergraduate Linear Algebra Course**

by

**Mohammed Kaabar**

There are five chapters: Systems of Linear Equations, Vector Spaces, Homogeneous Systems, Characteristic Equation of Matrix, and Matrix Dot Product. It has also exercises at the end of each chapter above to let students practice additional problems.

(

**3512**views)