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He retired on May 15, 2023 after giving his final Linear Algebra and Learning from Data [6] lecture at MIT. [ 7 ] Strang's teaching has focused on linear algebra which has helped the subject become essential for students of many majors.
MIT OpenCourseWare is supported by MIT, corporate underwriting, major gifts, and donations from site visitors. [2] The initiative inspired a number of other institutions to make their course materials available as open educational resources. [3] As of May 2018, over 2,400 courses were available online.
Math 55 is a two-semester freshman undergraduate mathematics course at Harvard University founded by Lynn Loomis and Shlomo Sternberg.The official titles of the course are Studies in Algebra and Group Theory (Math 55a) [1] and Studies in Real and Complex Analysis (Math 55b). [2]
Concerning general linear maps, linear endomorphisms, and square matrices have some specific properties that make their study an important part of linear algebra, which is used in many parts of mathematics, including geometric transformations, coordinate changes, quadratic forms, and many other parts of mathematics.
This is an outline of topics related to linear algebra, the branch of mathematics concerning linear equations and linear maps and their representations in vector spaces and through matrices. Linear equations
MIT Open Learning is a Massachusetts Institute of Technology (MIT) organization, [1] [2] headed by Dimitris Bertsimas, [3] that oversees several MIT educational initiatives, such as MIT Open CourseWare, MITx, [4] MicroMasters, [5] MIT Bootcamps [6] and others.
He is the author of a textbook on Tensor Calculus (2013) as well as an e-workbook on Linear Algebra. He has recorded hundreds of video lectures; several dozen on Tensors (in a video course which may accompany his textbook) as well as over a hundred shorter videos on linear algebra. Many of these are available on YouTube as well as other sites.
In the mathematical discipline of linear algebra, a matrix decomposition or matrix factorization is a factorization of a matrix into a product of matrices. There are many different matrix decompositions; each finds use among a particular class of problems.