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 (25 books)

A First Course in Linear Algebra (Version 3.50)

An introductory textbook of linear algebra. Teaches the fundamental concepts and techniques of matrix algebra and abstract vector spaces.

A First Course in Linear Algebra (Version 3.50)

An introductory textbook of linear algebra. Teaches the fundamental concepts and techniques of matrix algebra and abstract vector spaces.

Abstract Algebra: The Basic Graduate Year

This text studies fundamental algebraic structures, namely groups, rings, fields andmodules, and maps between these structures.

Abstract Algebra: The Basic Graduate Year

This text studies fundamental algebraic structures, namely groups, rings, fields andmodules, and maps between these structures.

Abstract Algebra: Theory and Applications

An open-source textbook that is designed to teach the principles and theory of abstract algebra to college juniors and seniors in a rigorous manner.

Abstract Algebra: Theory and Applications

An open-source textbook that is designed to teach the principles and theory of abstract algebra to college juniors and seniors in a rigorous manner.

Algebra: Abstract And Concrete

This text provides a thorough introduction to modern or abstract algebra at a level suitable for upper-level undergraduates and beginning graduate students.

Algebra: Abstract And Concrete

This text provides a thorough introduction to modern or abstract algebra at a level suitable for upper-level undergraduates and beginning graduate students.

An Introduction to Linear Programming and the Simplex Algorithm

Covers LP formulation and the underlying assumptions, graphical solution on 2-var LP's, generalization to the n-var case, Basic Feasible Solutions and the Simplex Algorithm.

An Introduction to Linear Programming and the Simplex Algorithm

Covers LP formulation and the underlying assumptions, graphical solution on 2-var LP's, generalization to the n-var case, Basic Feasible Solutions and the Simplex Algorithm.

Computational and Algorithmic Linear Algebra and n-Dimensional Geometry

A sophomore level book on linear algebra and n-dimensional geometry with the aim of developing in college entering undergraduates skills in algorithms, computational methods, and mathematical modeling.

Computational and Algorithmic Linear Algebra and n-Dimensional Geometry

A sophomore level book on linear algebra and n-dimensional geometry with the aim of developing in college entering undergraduates skills in algorithms, computational methods, and mathematical modeling.

An introduction to linear algebra, based on lectures given by the author at the University of Queensland.

An introduction to linear algebra, based on lectures given by the author at the University of Queensland.

Covers the basic problems of linear algebra: solving linear equations, constructing a basis for a vector space, constructing a matrix which represents a linear transformation, eigenvalue-eigenvector and diagonalization.

Covers the basic problems of linear algebra: solving linear equations, constructing a basis for a vector space, constructing a matrix which represents a linear transformation, eigenvalue-eigenvector and diagonalization.

Elements of Abstract and Linear Algebra

A survey of abstract algebra with emphasis on linear algebra, presented in a compact and tightly organized, but still somewhat informal book.

Elements of Abstract and Linear Algebra

A survey of abstract algebra with emphasis on linear algebra, presented in a compact and tightly organized, but still somewhat informal book.

From Geometry to Algebra - An Introduction to Linear Algebra

Presents basic concepts in linear algebra such as vector spaces, basis, inner-product spaces, and linear transformations. Also shows how abstract concepts can be applied in various problems.

From Geometry to Algebra - An Introduction to Linear Algebra

Presents basic concepts in linear algebra such as vector spaces, basis, inner-product spaces, and linear transformations. Also shows how abstract concepts can be applied in various problems.

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.

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.

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Computer Science
40
Introduction to Computer Science
40
Algorithms and Data Structures
24
Object Oriented Programming
21
Theory of Computation
18
Formal Methods
18
Functional Programming
10
Logic Programming
23
Artificial Intelligence
22
Computer Vision
10
Big Data
3
Neural Networks
18
Compiler Design and Construction
16
Computer Organization and Architecture
9
Parallel Computing
3
Concurrent Programming
22
Operating Systems
22
Data Communication and Networks
29
Information Security
6
Information Theory
23
Digital Libraries
14
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61
Software Engineering
17
Game Development and Multimedia
10
Data Mining
21
Machine Learning

Mathematics
65
Mathematics
2
Precalculus
9
Algebra
6
Calculus
5
Category Theory
25
Linear Algebra
16
Computer Aided Mathematics
5
Proofs
15
Discrete Mathematics
6
Numerical Methods
3
Number Theory
10
Graph Theory
11
Operations Research
1
Complex Analysis
5
Queueing Theory
31
Statistics
9
Probability

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Electric Circuits
22
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14
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9
Database Management System
1
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Ada
12
Assembly
34
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Forth
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