Linear Algebra in the Best of the Web Directory

Linear Algebra

  • Abstract Linear Spaces

    Article written by J.J. O'Connor and E.F. Robertson.

  • Elementary Linear Algebra

    Lecture notes by Keith Matthews. Includes solutions to problems.

  • Elements of Abstract and Linear Algebra

    Foundational textbook by Edwin H. Connell. Available for download in pdf, dvi, postscript, or gzipped postscript.

  • Linear Algebra and Applications Textbook

    Topics include linear systems of equations, matrix algebra, vector spaces, geometrical aspects of standard spaces, the eigenvalue problem, and geometrical aspects of abstract spaces.

  • Linear Algebra by Jim Hefferon

    Text available for free download in pdf or postscript. Source in LaTeX and MetaPost.

  • Linear Algebra from Math World

    With links to various topics, including determinants, general linear algebra, linear independence, linear systems of equations, matrices, permanents and lie theory.

  • Linear Algebra Toolkit

    With modules designed to help a linear algebra student learn and practice a basic linear algebra procedure, such as Gauss-Jordan reduction, calculating the determinant, or checking for linear independence.

  • Matrix Multiplication

    Java-enabled interactive micro-course for beginners.

  • Notes on Linear Algebra

    Files available in pdf or postscipt. Topics include inverse of a matrix, equivalents statements, equivalent characterizations of basic concepts, grammar lessons in algebra, pivotal role of zero, linear independence, and eigenvalues.

  • Professor Strang's Linear Algebra Class Lecture Videos

    Videotaped Lectures from MIT's Course 18.06: Linear Algebra.

  • Project Linbox: Exact Computational Linear Algebra

    C template library for exact, high-performance linear algebra computation with dense, sparse, and structured matrices over the integers and over finite fields.

  • Topics in Linear Algebra

    Extends the existing one-way connections among the solving linear systems of equations, matrix inversion, and linear programming. With illustrative numerical examples.

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