Results 11 to 20 of about 147,711 (304)
Scalable Resilience Against Node Failures for Communication-Hiding Preconditioned Conjugate Gradient and Conjugate Residual Methods [PDF]
12 pages, 2 figures, 2 ...
Markus Levonyak +2 more
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The Conjugate Residual Method for Constrained Minimization Problems [PDF]
The method of conjugate gradients, a particular version of the general class of conjugate direction methods, was originally developed for solving a linear system of equations$$ Ax = b,$$where $A$ is an $n \times n$ symmetric, positive definite matrix, $x$ is an unknown $n$-vector and $b$ is a fixed $n$-vector.
David G. Luenberger
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A finite element analysis of unsteady flows utilizing conjugate residual method.
Yuzuru Eguchi +2 more
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Structure-preserving Quaternion Generalized Conjugate Residual Method
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xin‐Fang Zhang, Wei Ding, Tao Li
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Solving Some Large Scale Semidefinite Programs via the Conjugate Residual Method
Summary: Most current implementations of interior-point methods for semidefinite programming use a direct method to solve the Schur Complement Equation (SCE) \(M \Delta y=h\) in computing the search direction. When the number of constraints is large, the problem of having insufficient memory to store \(M\) can be avoided if an iterative method is used ...
Kim-Chuan Toh, Masakazu Kojima
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Generalized Conjugate A-Orthogonal Residual Squared Method for Complex Non-Hermitian Linear Systems
Recently numerous numerical experiments on realistic calculation have shown that the conjugate A-orthogonal residual squared (CORS) method is often competitive with other popular methods. However, the CORS method, like the CGS method, shows irregular convergence, especially appears large intermediate residual norm, which may lead to worse approximate ...
Jianhua Zhang, Hua Dai
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Kuniyoshi Abe, Seiji Fujino
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BiCGCR2: A new extension of conjugate residual method for solving non-Hermitian linear systems [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xian‐Ming Gu +2 more
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Least squares reverse time migration (LSRTM) imaging is the one of the most accurate methods for migration imaging at present, and Polak–Ribiere–Polyak conjugate gradient (PRPCG) for LSRTM has the good numerical performance but weak convergence, so we ...
Xiaodan Zhang +5 more
doaj +1 more source
Preconditioning complex symmetric linear systems [PDF]
A new polynomial preconditioner for symmetric complex linear systems based on Hermitian and skew-Hermitian splitting (HSS) for complex symmetric linear systems is herein presented. It applies to Conjugate Orthogonal Conjugate Gradient (COCG) or Conjugate
Bertolazzi, Enrico, Frego, Marco
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