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Everything about Block matrix
Matrix defined using smaller matrices called blocks
In mathematics, a block matrix or a partitioned matrix is a matrix that is interpreted as having been broken into sections called blocks or submatrices. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Block matrixA 5-minute orientation
- Skim a recent paper: Block-MUSIC in blade tip timing: Performance study of block snapshot matrixInfluential work since 2022
- Pick up a classic book: Synthesis of imide/arylene ether copolymers for adhesives and composite matricesThe most-reprinted book on the subject
- Read the landmark paper: Block Toeplitz Matrix InversionCited 208 times
- Go sideways: Schur complementA closely related topic
- Go sideways: Methods of matrix inversionA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Block Toeplitz Matrix Inversion
Adaptive covariance matrix estimation through block thresholding
The inverse of a block-circulant matrix
A general incomplete block-matrix factorization method
Matrix Measures and Random Walks with a Block Tridiagonal Transition Matrix
MATRIX SUBADDITIVITY INEQUALITIES AND BLOCK-MATRICES
An efficient, block-by-block algorithm for inverting a block tridiagonal, nearly block Toeplitz matrix
Block-diagonalization and block-triangularization of a matrix via the matrix sign function
🆕 Influential since 2022
Block-MUSIC in blade tip timing: Performance study of block snapshot matrix
Block Lanczos algorithm for lattice QCD spectroscopy and matrix elements
General Matrix Synthesis for Cascaded-Block Filters With Flexible Bandwidth
Image parallel block compressive sensing scheme using DFT measurement matrix
B-essential spectra of 2 × 2 block operator matrix pencils
📚 Books worth reading
- 📕Synthesis of imide/arylene ether copolymers for adhesives and composite matricesB. J. Jensen · 1991
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Schur complement The Schur complement is a key tool in the fields of linear algebra, the theory of matrices, numerical analysis, and statistics. It is defined for a block…
- Methods of matrix inversion In linear algebra, the inverse square matrix A is another square matrix A−1 such that the product A−1A is the identity matrix. There are many methods for…
- Determinant In mathematics, the determinant is a scalar-valued function of the entries of a square matrix that has many properties which make it fundamental for the…
- Eigendecomposition of a matrix In linear algebra, eigendecomposition (also known as eigenvalue decomposition or EVD) is a factorization of a matrix A into a canonical form given by A=QDQ−𝟣…
- Adjugate matrix In linear algebra, the adjugate or classical adjoint adj(A) of a square matrix A is the transpose of its cofactor matrix. It is occasionally known as adjunct…
- Square matrix In mathematics, a square matrix is a matrix with the same number of rows and columns. An n-by-n matrix is known as a square matrix of order n. Any two…
- Supermatrix In mathematics and theoretical physics, a supermatrix is a Z2-graded analog of an ordinary matrix. Specifically, a supermatrix is a 2×2 block matrix with…
- Invertible matrix In linear algebra, an invertible matrix (non-singular, non-degenerate or regular) is a square matrix that has an inverse. In other words, if a matrix is…