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A First Course in Linear Algebra An introductory textbook of linear algebra. Teaches the fundamental concepts and techniques of matrix algebra and abstract vector spaces.

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An Introduction To Linear Algebra Mainly features row operations and everything is done in terms of the row reduced echelon form and specific algorithms. Contains a complete treatment of determinants and a simple proof of the Cayley Hamilton theorem.

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An Introduction to Linear Programming and the Simplex Algorithm Covers LP formulation and the underlying assumptions, graphical solution on 2var LP's, generalization to the nvar case, Basic Feasible Solutions and the Simplex Algorithm.

14769 

Computational and Algorithmic Linear Algebra and nDimensional Geometry A sophomore level book on linear algebra and ndimensional geometry with the aim of developing in college entering undergraduates skills in algorithms, computational methods, and mathematical modeling.

7796 

Elementary Linear Algebra 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, eigenvalueeigenvector and diagonalization.

17671 

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

17886 

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.

16756 

From Geometry to Algebra  An Introduction to Linear Algebra Presents basic concepts in linear algebra such as vector spaces, basis, innerproduct spaces, and linear transformations. Also shows how abstract concepts can be applied in various problems.

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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.

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Grassmann Algebra 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.

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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.

16442 

Linear Algebra 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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Linear Algebra  An Introduction to Linear Algebra for PreCalculus Students Clearly explains the introductory concepts of linear algebra. Provides students with many realworld linear algebra topics to explore. Students with experience in general mathematics, up to and including Algebra I, should be able to comprehend.

15291 

Linear Algebra and Matrices Lecture notes for the course of Linear Algebra and Matrices at the University of Helsinki. Covers basic studies of linear structures (like the solutions of systems of linear equations).

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Linear Algebra Done Wrong 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.

11521 

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.

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Linear Programming: Foundations and Extensions, 2nd Edition Focuses largely on constrained optimization. Begins with a substantial treatment of linear programming and proceeds to convex analysis, network flows, integer programming, and convex optimization.

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Matrix Analysis and Applied Linear Algebra A traditional linear algebra book designed to prepare students in mathematics, science, and engineering to deal with a broad range of applications. Begins at an introductory level and progresses to topics more appropriate for a first year graduate course.

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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.

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The Matrix Cookbook 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.

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Vector Math for 3D Computer Graphics  An Interactive Tutorial A tutorial on vector algebra and matrix algebra from the viewpoint of computer graphics. It covers most vector and matrix topics needed for collegelevel computer graphics text books.

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