Matrix Theory and Algorithms
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Scope of this subject
This cluster of papers focuses on matrix algorithms, iterative methods, and numerical techniques for solving eigenvalue problems, preconditioning sparse linear systems, and addressing saddle point problems. It covers topics such as Krylov subspace methods, structured preconditioners, parallel computing, and numerical linear algebra.
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Research vocabulary
linear algebra; systems of linear equations; iterative solvers; preconditioning; Krylov subspace methods; numerical linear algebra; matrix factorization; sparse linear systems; matrices; sparse matrices; determinants; eigenvectors; matrix theory; vector spaces; matrix inversion; conjugate gradient method; eigenvalue computation; generalized inverses; symmetric matrices; preconditioners; matrix algebra; matrix equations; Gaussian elimination; matrix inverse; large-scale linear systems
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Numeric address and provenance
Morton address: 36174758274040919 · morton4x16-v1
Coordinates: (3, 17, 1703, 10792). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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