Logo

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

Large book cover: Introduction to Applied Linear Algebra: Vectors, Matrices and Least Squares

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

Publisher: Cambridge University Press
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.

Home page url

Download or read it online for free here:
Download link
(7.5MB, PDF)

Similar books

Book cover: Linear AlgebraLinear Algebra
by - University College Cork
These notes are drawn from lectures given for a first year introduction to linear algebra. The prerequisites for this course are arithmetic and elementary algebra, and some comfort and facility with proofs, particularly using mathematical induction.
(9256 views)
Book cover: Linear AlgebraLinear Algebra
by - UC Davis
This textbook is suitable for a sophomore level linear algebra course taught in about twenty-five lectures. It is designed both for engineering and science majors, but has enough abstraction to be useful for potential math majors.
(9726 views)
Book cover: Linear Algebra Done WrongLinear Algebra Done Wrong
by
This book covers a first course of linear algebra, it introduces mathematically advanced students to rigorous proof and formal definitions. The author of the text tried to emphasize topics important for analysis, geometry and probability.
(15755 views)
Book cover: Linear AlgebraLinear Algebra
by - Lamar University
These topics are covered: Systems of Equations and Matrices; Determinants; Euclidean n-space; Vector Spaces; Eigenvalues and Eigenvectors. These notes do assume that the reader has a good working knowledge of basic Algebra.
(18553 views)