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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. Jacobi method for complex Hermitian matrices - Wikipedia

   en.wikipedia.org/wiki/Jacobi_Method_for_Complex...

   Download as PDF; Printable version; In other projects Wikidata item; ... The Jacobi iteration method is also explained in "Introduction to Linear Algebra" by Strang ...

4. Linear algebra - Wikipedia

   en.wikipedia.org/wiki/Linear_algebra

   Download as PDF; Printable version; ... Linear algebra is the branch of mathematics concerning linear equations such as: ... every submodule of a free module is free, ...

5. Eigendecomposition of a matrix - Wikipedia

   en.wikipedia.org/wiki/Eigendecomposition_of_a_matrix

   Let A be a square n × n matrix with n linearly independent eigenvectors q i (where i = 1, ..., n).Then A can be factored as = where Q is the square n × n matrix whose i th column is the eigenvector q i of A, and Λ is the diagonal matrix whose diagonal elements are the corresponding eigenvalues, Λ ii = λ i.

6. File:A First Course in Linear Algebra for print.pdf - Wikipedia

   en.wikipedia.org/wiki/File:A_First_Course_in...

   Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Donate; Help; Learn to edit; Community portal; Recent changes; Upload file

7. Rank–nullity theorem - Wikipedia

   en.wikipedia.org/wiki/Rank–nullity_theorem

   The rank–nullity theorem is a theorem in linear algebra, which asserts: the number of columns of a matrix M is the sum of the rank of M and the nullity of M ; and the dimension of the domain of a linear transformation f is the sum of the rank of f (the dimension of the image of f ) and the nullity of f (the dimension of the kernel of f ).

8. Generalized eigenvector - Wikipedia

   en.wikipedia.org/wiki/Generalized_eigenvector

   In linear algebra, a generalized eigenvector of an matrix is a vector which satisfies certain criteria which are more relaxed than those for an (ordinary) eigenvector. [ 1 ] Let V {\displaystyle V} be an n {\displaystyle n} -dimensional vector space and let A {\displaystyle A} be the matrix representation of a linear map from V {\displaystyle V ...

9. Pavel Grinfeld - Wikipedia

   en.wikipedia.org/wiki/Pavel_Grinfeld

   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.