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  2. Gilbert Strang - Wikipedia

    en.wikipedia.org/wiki/Gilbert_Strang

    Introduction to Linear Algebra, Fifth Edition (2016) [21] [22] Differential Equations and Linear Algebra (2014) Differential Equations and Linear Algebra - New Book Website; Essays in Linear Algebra (2012) Algorithms for Global Positioning, with Kai Borre (2012) An Analysis of the Finite Element Method, with George Fix (2008) Computational ...

  3. Linear Algebra and Its Applications - Wikipedia

    en.wikipedia.org/wiki/Linear_Algebra_and_Its...

    Linear Algebra and its Applications is a biweekly peer-reviewed mathematics journal published by Elsevier and covering matrix theory and finite-dimensional linear ...

  4. Marvin Marcus - Wikipedia

    en.wikipedia.org/wiki/Marvin_Marcus

    With Robert Charles Thompson, he was the co-founder of the journal Linear and Multilinear Algebra, [2] whose first issue was published in 1973. [8] He was the section editor for linear algebra in Addison-Wesley's series Encyclopedia of mathematics and its applications. [9]

  5. Linear algebra - Wikipedia

    en.wikipedia.org/wiki/Linear_algebra

    An essential question in linear algebra is testing whether a linear map is an isomorphism or not, and, if it is not an isomorphism, finding its range (or image) and the set of elements that are mapped to the zero vector, called the kernel of the map.

  6. Ken Stroud - Wikipedia

    en.wikipedia.org/wiki/Ken_Stroud

    Stroud was an innovator in programmed learning and the identification of precise learning outcomes, [5] [6] and Nigel Steele calls his textbook Engineering Mathematics, based on the programmed learning approach, "one of the most successful mathematics textbooks ever published."

  7. Numerical linear algebra - Wikipedia

    en.wikipedia.org/wiki/Numerical_linear_algebra

    For many problems in applied linear algebra, it is useful to adopt the perspective of a matrix as being a concatenation of column vectors. For example, when solving the linear system =, rather than understanding x as the product of with b, it is helpful to think of x as the vector of coefficients in the linear expansion of b in the basis formed by the columns of A.

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