Physical Sciences → Computer Science → Computational Theory and Mathematics
Matrix Theory and Algorithms
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.
123.9K works worldwide1.7M citations
Matrix ComputationsNumerical Linear AlgebraPreconditioning TechniquesIterative MethodsEigenvalue ProblemsSparse Linear SystemsKrylov Subspace MethodsSaddle Point ProblemsStructured PreconditionersParallel Computing


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