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  2. Gilbert Strang - Wikipedia

    en.wikipedia.org/wiki/Gilbert_Strang

    William Gilbert Strang (born November 27, 1934 [1]) is an American mathematician known for his contributions to finite element theory, the calculus of variations, wavelet analysis and linear algebra. He has made many contributions to mathematics education, including publishing mathematics textbooks.

  3. Strang splitting - Wikipedia

    en.wikipedia.org/wiki/Strang_splitting

    In applied mathematics Strang splitting is a numerical method for solving differential equations that are decomposable into a sum of differential operators. It is named after Gilbert Strang .

  4. Hadamard matrix - Wikipedia

    en.wikipedia.org/wiki/Hadamard_matrix

    Gilbert Strang demonstrates the Hadamard conjecture at MIT in 2005, using Sylvester's construction. In mathematics , a Hadamard matrix , named after the French mathematician Jacques Hadamard , is a square matrix whose entries are either +1 or −1 and whose rows are mutually orthogonal .

  5. Finite element method - Wikipedia

    en.wikipedia.org/wiki/Finite_element_method

    A rigorous mathematical basis for FEM was provided in 1973 with a publication by Gilbert Strang and George Fix. [12] The method has since been generalized for the numerical modeling of physical systems in a wide variety of engineering disciplines, such as electromagnetism , heat transfer , and fluid dynamics .

  6. Rank–nullity theorem - Wikipedia

    en.wikipedia.org/wiki/Rank–nullity_theorem

    The second proof [6] looks at the homogeneous system =, where is a with rank, and shows explicitly that there exists a set of linearly independent solutions that span the null space of . While the theorem requires that the domain of the linear map be finite-dimensional, there is no such assumption on the codomain.

  7. Joint spectral radius - Wikipedia

    en.wikipedia.org/wiki/Joint_Spectral_Radius

    The joint spectral radius was introduced in 1960 by Gian-Carlo Rota and Gilbert Strang, [1] two mathematicians from MIT, but started attracting attention with the work of Ingrid Daubechies and Jeffrey Lagarias. [2] They showed that the joint spectral radius can be used to describe smoothness properties of certain wavelet functions. [3]

  8. Adjugate matrix - Wikipedia

    en.wikipedia.org/wiki/Adjugate_matrix

    In linear algebra, the adjugate or classical adjoint of a square matrix A, adj(A), is the transpose of its cofactor matrix. [1] [2] It is occasionally known as adjunct matrix, [3] [4] or "adjoint", [5] though that normally refers to a different concept, the adjoint operator which for a matrix is the conjugate transpose.

  9. Robert V. Kohn - Wikipedia

    en.wikipedia.org/wiki/Robert_V._Kohn

    with Gilbert Strang, "Optimal design and relaxation of variational problems, I", Communications on Pure and Applied Mathematics, n. 39 i. 1, pp. 113–137. References [ edit ]