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 (34 books)

Fundamentals of Linear Algebra

This book is addressed primarily to second and third year college students who have already had a course in calculus and analytic geometry.

Fundamentals of Linear Algebra

This book is addressed primarily to second and third year college students who have already had a course in calculus and analytic geometry.

Fundamentals of Matrix Algebra

A college-level (or advanced high school) text dealing with the basic principles of matrix and linear algebra, this text covers systems of linear equations, matrix arithmetic, and the determinant, eigenvalues, and linear transformations.

Fundamentals of Matrix Algebra

A college-level (or advanced high school) text dealing with the basic principles of matrix and linear algebra, this text covers systems of linear equations, matrix arithmetic, and the determinant, eigenvalues, and linear transformations.

Provides a readable account in modern notation of Grassmann's major algebraic contributions to mathematics and science, by avoiding all mathematical terminology which does not make an essential contribution to understanding the basic concepts.

Provides a readable account in modern notation of Grassmann's major algebraic contributions to mathematics and science, by avoiding all mathematical terminology which does not make an essential contribution to understanding the basic concepts.

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.

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.

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.

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 is on linear algebra and its interaction with analysis. It emphasizes the main ideas, both algebraic and geometric and attempts to present these ideas as quickly as possible without being overly terse.

This is on linear algebra and its interaction with analysis. It emphasizes the main ideas, both algebraic and geometric and attempts to present these ideas as quickly as possible without being overly terse.

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.

This book is an attempt to make the subject of linear algebra as understandable as possible, for a first time student of the subject.

This book is an attempt to make the subject of linear algebra as understandable as possible, for a first time student of the subject.

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.

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