linear algebra algebra math  Linear Algebra


    Linear Algebra Algebra Math













Linear Algebra Algebra Math


Linear Algebra

Abstract theory of vector spaces and linear maps: the theoretical counterparts of vectors and matrices.

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    Top: Science: Math: Algebra: Linear Algebra


  • - Includes information on subscription, paper submission, and table of contents.
  • - Contains narrated and animated lessons, interactive exploration and computational tools, and an assessment system providing feedback to guide student learning.
  • - Exact linear algebra computation tools and downloads.
  • - Online Lecture Notes (PostScript) by Keith Matthews, 1991.
  • - By Lee Lady: available in PDF, PS or DVI.
  • - An online textbook on abstract algebra with emphasis on linear algebra.
  • - Includes definitions and examples of all basic concepts.
  • - Gives a definition of the topic and motivation. Sections cover vector spaces, linear transformations, matrix calculus, eigenspaces, diagonalisation, square matrix composition, and quadratic forms.
  • - An interactive micro-course for beginners, by Hans Lundmark. (Uses JavaScript.)
  • - By Jim Hefferon. Free download in PDF and TeX source code. Covers the material of an undergraduate first linear algebra course.
  • - An approach unifying the notions of system of equations, matrix inversion, and linear programming.
  • - A historical paper on the elaboration of the discipline's foundations in the middle of the 19th century.
  • - An informative description of the subject of linear algebra and all of its subfields from the Mathematical Atlas.
  • - Offers elementary definitions in general linear algebra, matrices and determinants.
  • - Offers online video lectures for MIT's Linear Algebra course. Topics include geometric properties, using matrices, permutations, pivot variables, subspaces, Cramer's Rule, and Eigenvalues.
  • - Online text, each page is a GIF format image.
  • - Step by step solutions of problems such as Gauss-Jordan reduction, calculating the determinant, and finding a basis of a space spanned by given vectors.
  • - From the History of Mathematics project.


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