Linear Algebra

The branch of mathematics concerned with the study of vectors, vector spaces (also called linear spaces), linear maps (also called linear transformations), and systems of linear equations.

All categoriesBooks under this sub-category (29 books)

Introduction to Matrix Algebra

A contemporary, applied approach to linear/matrix algebra, suitable for self study. Uses plenty of examples to illustrate every concept, plus exercises.

Introduction to Matrix Algebra

A contemporary, applied approach to linear/matrix algebra, suitable for self study. Uses plenty of examples to illustrate every concept, plus exercises.

Helps students to master the material of a standard undergraduate linear algebra course. The material is standard in that the topics covered are Gaussian reduction, vector spaces, linear maps, determinants, and eigenvalues and eigenvectors.

Helps students to master the material of a standard undergraduate linear algebra course. The material is standard in that the topics covered are Gaussian reduction, vector spaces, linear maps, determinants, and eigenvalues and eigenvectors.

This book 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.

This book 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.

Linear Algebra - An Introduction to Linear Algebra for Pre-Calculus Students

Clearly explains the introductory concepts of linear algebra. Provides students with many real-world linear algebra topics to explore. Students with experience in general mathematics, up to and including Algebra I, should be able to comprehend.

Linear Algebra - An Introduction to Linear Algebra for Pre-Calculus Students

Clearly explains the introductory concepts of linear algebra. Provides students with many real-world linear algebra topics to explore. Students with experience in general mathematics, up to and including Algebra I, should be able to comprehend.

This book belongs to a first course of linear algebra, introducing a student to rigorous proof, formal definitions -- in short, to the style of modern theoretical (abstract) mathematics.

This book belongs to a first course of linear algebra, introducing a student to rigorous proof, formal definitions -- in short, to the style of modern theoretical (abstract) mathematics.

Linear Algebra for Informatics

Studies real vector spaces and their linear maps, univariate polynomials, and an introduction to algebraic coding theory, concentrating for definiteness on binary linear codes.

Linear Algebra for Informatics

Studies real vector spaces and their linear maps, univariate polynomials, and an introduction to algebraic coding theory, concentrating for definiteness on binary linear codes.

Linear Algebra, Theory and Applications

This is a book on linear algebra and matrix theory. It is assumed that the reader has had some exposure to linear algebra and calculus.

Linear Algebra, Theory and Applications

This is a book on linear algebra and matrix theory. It is assumed that the reader has had some exposure to linear algebra and calculus.

Mathematical Methods for Economic Theory

This tutorial covers the basic mathematical tools used in economic theory. Knowledge of elementary calculus is assumed.

Mathematical Methods for Economic Theory

This tutorial covers the basic mathematical tools used in economic theory. Knowledge of elementary calculus is assumed.

An introduction to formal methods for reasoning and to mathematical techniques basic to computer science. Topics include propositional logic, discrete mathematics, and linear algebra.

An introduction to formal methods for reasoning and to mathematical techniques basic to computer science. Topics include propositional logic, discrete mathematics, and linear algebra.

Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics

This textbook presents a new approach to numerical analysis for modern computer scientists and introduces numerical modeling and algorithmic design from a practical standpoint and provides insight into the theoretical tools needed to support these skills.

Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics

This textbook presents a new approach to numerical analysis for modern computer scientists and introduces numerical modeling and algorithmic design from a practical standpoint and provides insight into the theoretical tools needed to support these skills.

Lecture notes for Math 164: Scientific Computing, taught at Harvey Mudd College.

Lecture notes for Math 164: Scientific Computing, taught at Harvey Mudd College.

Templates for the Solution of Algebraic Eigenvalue Problems: a Practical Guide

A guide to the numerical solution of eigenvalue problems. This book attempts to present the many available methods in an organized fashion, to make it easier for reader to identify the most promising methods.

Templates for the Solution of Algebraic Eigenvalue Problems: a Practical Guide

A guide to the numerical solution of eigenvalue problems. This book attempts to present the many available methods in an organized fashion, to make it easier for reader to identify the most promising methods.

Contains a collection of facts (identities, approximations, inequalities, relations) about matrices and matters relating to them. Collected in this form for the convenience of anyone who wants a quick desktop reference.

Contains a collection of facts (identities, approximations, inequalities, relations) about matrices and matters relating to them. Collected in this form for the convenience of anyone who wants a quick desktop reference.

Vector Math for 3D Computer Graphics - An Interactive Tutorial, 4th Revision

A tutorial on vector algebra and matrix algebra from the viewpoint of computer graphics. It covers most vector and matrix topics needed for college-level computer graphics text books.

Vector Math for 3D Computer Graphics - An Interactive Tutorial, 4th Revision

A tutorial on vector algebra and matrix algebra from the viewpoint of computer graphics. It covers most vector and matrix topics needed for college-level computer graphics text books.

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