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Strang's teaching has focused on linear algebra which has helped the subject become essential for students of many majors. His linear algebra video lectures are popular on YouTube and MIT OpenCourseware. Strang founded Wellesley-Cambridge Press to publish Introduction to Linear Algebra (now in 6th edition) and ten other books.
Many of these are issued in themed series, such as "Advances in design and control", "Financial mathematics" and "Monographs on discrete mathematics and applications". In particular, SIAM distributes books produced by Gilbert Strang's Wellesley-Cambridge Press, such as his Introduction to Linear Algebra (5th edition, 2016).
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. [13] [14]
Least-squares adjustment is a model for the solution of an overdetermined system of equations based on the principle of least squares of observation residuals. It is used extensively in the disciplines of surveying , geodesy , and photogrammetry —the field of geomatics , collectively.
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 .
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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]
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 .