Results 191 to 200 of about 81,041 (236)
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Least Squares Methods in Krylov Subspaces

Journal of Mathematical Sciences, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Krylov Subspace Method Using Quantum Computing

2021
The Krylov subspace algorithm uses iterative methods to solve bulky linear equations. It has a time complexity of O(n2) when run on a classical computing machine. The proposed algorithm has an exponential speedup over the classical algorithm. It takes O(n√k) time complexity when run on a quantum computer, where k is the condition number. In this paper,
Vidushi Jain, Yogesh Nagor
openaire   +1 more source

A Krylov Subspace Method for Information Retrieval

SIAM Journal on Matrix Analysis and Applications, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Blom, Katarina, Ruhe, Axel
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Molecular Properties from Quantum Krylov Subspace Diagonalization.

Journal of Chemical Theory and Computation
Quantum Krylov subspace diagonalization is a prominent candidate for early fault-tolerant quantum simulation of many-body and molecular systems, but so far, the focus has been mainly on computing ground-state energies.
O. Oumarou   +5 more
semanticscholar   +1 more source

Practical Implementation of Krylov Subspace Spectral Methods

Journal of Scientific Computing, 2007
Krylov subspace spectral methods have been shown to be high-order accurate in time and more stable than time-stepping methods but also more difficult for an efficient implementation. The author shows how these methods should be used in practical solvers by exploiting the simple structure of differential operators.
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Extrapolation methods as nonlinear Krylov subspace methods

Linear Algebra and its Applications
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Conor McCoid, Martin J. Gander
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Biconjugate direction methods in Krylov subspaces

Journal of Applied and Industrial Mathematics, 2010
Summary: The paper addresses the orthogonal and variational properties of a family of iterative algorithms in Krylov subspaces for solving systems of linear algebraic equations with sparse nonsymmetric matrices. A biconjugate residual method, a squared biconjugate residual method, and a stabilized conjugate residual method are proposed and studied ...
openaire   +1 more source

Krylov Subspace Methods for the Eigenproblem

2010
These papers comprise some of Stewart’s recent contributions to the development and analysis of iterative algorithms based on Krylov subspace methods for computing eigenvalues.
Howard C. Elman, Dianne P. O’Leary
openaire   +1 more source

Global extended Krylov subspace methods for large-scale differential Sylvester matrix equations

Journal of Applied Mathematics and Computation, 2019
E. Sadek   +3 more
semanticscholar   +1 more source

Theory of Krylov Subspace Methods

Krylov Subspace Methods with Application in Incompressible Fluid Flow Solvers, 2020

semanticscholar   +1 more source

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