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
Post date: 19 Apr 2009This book is addressed primarily to second and third year college students who have already had a course in calculus and analytic geometry.
Publication date: 01 Mar 2001
Fundamentals of Linear Algebra
Post date: 19 Apr 2009This book is addressed primarily to second and third year college students who have already had a course in calculus and analytic geometry.
Publication date: 01 Mar 2001
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Fundamentals of Matrix Algebra
Post date: 20 May 2016A 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.
Publisher:
CreateSpace Independent Publishing Platform
Publication date: 02 Nov 2011
License: Creative Commons Attribution-NonCommercial 3.0 United States
Publication date: 02 Nov 2011
License: Creative Commons Attribution-NonCommercial 3.0 United States
Fundamentals of Matrix Algebra
Post date: 20 May 2016A 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.
Publisher:
CreateSpace Independent Publishing Platform
Publication date: 02 Nov 2011
License: Creative Commons Attribution-NonCommercial 3.0 United States
Publication date: 02 Nov 2011
License: Creative Commons Attribution-NonCommercial 3.0 United States
Post date: 18 Nov 2006
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.
Post date: 18 Nov 2006Provides 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
Post date: 18 Oct 2006A contemporary, applied approach to linear/matrix algebra, suitable for self study. Uses plenty of examples to illustrate every concept, plus exercises.
Publication date: 31 Dec 2002
Introduction to Matrix Algebra
Post date: 18 Oct 2006A contemporary, applied approach to linear/matrix algebra, suitable for self study. Uses plenty of examples to illustrate every concept, plus exercises.
Publication date: 31 Dec 2002
Post date: 22 May 2016
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.
Publication date: 30 Sep 2013
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Document Type: Textbook
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Document Type: Textbook
Post date: 22 May 2016This 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.
Publication date: 30 Sep 2013
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported Document Type: Textbook
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported Document Type: Textbook
Post date: 15 Aug 2006
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.
Publisher:
Orthogonal Publishing L3C
Publication date: 26 Apr 2020
License: Creative Commons Attribution-ShareAlike 2.5 Generic
Document Type: Textbook
Publication date: 26 Apr 2020
License: Creative Commons Attribution-ShareAlike 2.5 Generic
Document Type: Textbook
Post date: 15 Aug 2006Helps 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.
Publisher:
Orthogonal Publishing L3C
Publication date: 26 Apr 2020
License: Creative Commons Attribution-ShareAlike 2.5 Generic Document Type: Textbook
Publication date: 26 Apr 2020
License: Creative Commons Attribution-ShareAlike 2.5 Generic Document Type: Textbook
Linear Algebra - An Introduction to Linear Algebra for Pre-Calculus Students
Post date: 02 Apr 2007Clearly 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.
Publication date: 01 Aug 2000
Linear Algebra - An Introduction to Linear Algebra for Pre-Calculus Students
Post date: 02 Apr 2007Clearly 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.
Publication date: 01 Aug 2000
Post date: 15 Feb 2021
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.
Post date: 15 Feb 2021This 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.
Post date: 26 Jun 2007
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.
Publication date: 11 Jan 2021
License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported
Document Type: Textbook
License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported
Document Type: Textbook
Post date: 26 Jun 2007This 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.
Publication date: 11 Jan 2021
License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported Document Type: Textbook
License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported Document Type: Textbook
Linear Algebra for Informatics
Post date: 11 Apr 2008Studies real vector spaces and their linear maps, univariate polynomials, and an introduction to algebraic coding theory, concentrating for definiteness on binary linear codes.
Publication date: 01 Nov 2005
Linear Algebra for Informatics
Post date: 11 Apr 2008Studies real vector spaces and their linear maps, univariate polynomials, and an introduction to algebraic coding theory, concentrating for definiteness on binary linear codes.
Publication date: 01 Nov 2005
Post date: 28 Feb 2021
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.
Publication date: 01 Feb 2016
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Document Type: Textbook
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Document Type: Textbook
Post date: 28 Feb 2021This book is an attempt to make the subject of linear algebra as understandable as possible, for a first time student of the subject.
Publication date: 01 Feb 2016
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported Document Type: Textbook
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported Document Type: Textbook
Linear Algebra, Theory and Applications
Post date: 07 Apr 2016This is a book on linear algebra and matrix theory. It is assumed that the reader has had some exposure to linear algebra and calculus.
Publisher:
Textbook Equity LLC
Publication date: 29 Jan 2012
License: Creative Commons Attribution 3.0 Unported
Publication date: 29 Jan 2012
License: Creative Commons Attribution 3.0 Unported
Linear Algebra, Theory and Applications
Post date: 07 Apr 2016This is a book on linear algebra and matrix theory. It is assumed that the reader has had some exposure to linear algebra and calculus.
Publisher:
Textbook Equity LLC
Publication date: 29 Jan 2012
License: Creative Commons Attribution 3.0 Unported
Publication date: 29 Jan 2012
License: Creative Commons Attribution 3.0 Unported
Mathematical Methods for Economic Theory
Post date: 11 Jun 2017This tutorial covers the basic mathematical tools used in economic theory. Knowledge of elementary calculus is assumed.
Publication date: 09 Apr 2017
Document Type: Lecture Notes
Document Type: Lecture Notes
Mathematical Methods for Economic Theory
Post date: 11 Jun 2017This tutorial covers the basic mathematical tools used in economic theory. Knowledge of elementary calculus is assumed.
Publication date: 09 Apr 2017
Document Type: Lecture Notes
Document Type: Lecture Notes
Post date: 14 Jul 2016
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.
Publication date: 31 Dec 2020
License: Creative Commons Attribution-ShareAlike 4.0 International
Document Type: Lecture Notes
License: Creative Commons Attribution-ShareAlike 4.0 International
Document Type: Lecture Notes
Post date: 14 Jul 2016An introduction to formal methods for reasoning and to mathematical techniques basic to computer science. Topics include propositional logic, discrete mathematics, and linear algebra.
Publication date: 31 Dec 2020
License: Creative Commons Attribution-ShareAlike 4.0 International Document Type: Lecture Notes
License: Creative Commons Attribution-ShareAlike 4.0 International Document Type: Lecture Notes
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics
Post date: 19 Dec 2016This 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
Post date: 19 Dec 2016This 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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