Pages that link to "Item:Q808614"

The following pages link to On the real convergence rate of the conjugate gradient method (Q808614):

Displaying 48 items.

• Monotone convergence of the extended Krylov subspace method for Laplace-Stieltjes functions of Hermitian positive definite matrices (Q306481) (← links)
• Error bounds and estimates for Krylov subspace approximations of Stieltjes matrix functions (Q329011) (← links)
• Composite convergence bounds based on Chebyshev polynomials and finite precision conjugate gradient computations (Q457037) (← links)
• On prescribing the convergence behavior of the conjugate gradient algorithm (Q780394) (← links)
• On the worst-case convergence of MR and CG for symmetric positive definite tridiagonal Toeplitz matrices (Q871139) (← links)
• On the rate of convergence of the preconditioned conjugate gradient method (Q1058261) (← links)
• The rate of convergence of conjugate gradients (Q1078979) (← links)
• On the convergence rate of the conjugate gradients in presence of rounding errors (Q1326451) (← links)
• A numerical study of optimized sparse preconditioners (Q1334989) (← links)
• Estimates in quadratic formulas (Q1344109) (← links)
• A note on conjugate gradient convergence. II (Q1576610) (← links)
• A note on conjugate gradient convergence. III (Q1576611) (← links)
• Iterative solution of linear systems in the 20th century (Q1591173) (← links)
• The influence of isolated largest eigenvalues on the numerical convergence of the CG method (Q1591896) (← links)
• A Dai-Liao conjugate gradient algorithm with clustering of eigenvalues (Q1744053) (← links)
• Further results on the convergence behavior of conjugate-gradients and Ritz values (Q1816941) (← links)
• Accurate conjugate gradient methods for families of shifted systems (Q1826599) (← links)
• Iteration number for the conjugate gradient method (Q1861362) (← links)
• Highly accurate verified error bounds for Krylov type linear system solvers (Q1873165) (← links)
• Accuracy and effectiveness of preconditioned conjugate gradient algorithms for large and ill-conditioned problems (Q1912189) (← links)
• When does the Lanczos algorithm compute exactly? (Q2153950) (← links)
• On sensitivity of Gauss-Christoffel quadrature (Q2642282) (← links)
• Guaranteed two-sided bounds on all eigenvalues of preconditioned diffusion and elasticity problems solved by the finite element method. (Q2662447) (← links)
• A monotonicity result for norms in conjugate gradient algorithms (Q2679560) (← links)
• CGNR is an error reducing algorithm (Q2719255) (← links)
• New results on the convergence of the conjugate gradient method (Q3011672) (← links)
• ON THE RATE OF CONVERGENCE OF THE CONJUGATE GRADIENT METHOD FOR LINEAR OPERATORS IN HILBERT SPACE (Q3148351) (← links)
• Predicting the Behavior of Finite Precision Lanczos and Conjugate Gradient Computations (Q3988979) (← links)
• (Q4310134) (← links)
• The Numerical Stability Analysis of Pipelined Conjugate Gradient Methods: Historical Context and Methodology (Q4553788) (← links)
• On GMRES for Singular EP and GP Systems (Q4569578) (← links)
• Stochastic estimates for the trace of functions of matrices via Hadamard matrices (Q4976541) (← links)
• On the cost of iterative computations (Q4993500) (← links)
• The conjugate gradient algorithm on a general class of spiked covariance matrices (Q5022481) (← links)
• The Short-Term Rational Lanczos Method and Applications (Q5101015) (← links)
• Predict-and-Recompute Conjugate Gradient Variants (Q5132005) (← links)
• The conjugate gradient algorithm on well-conditioned Wishart matrices is almost deterministic (Q5146604) (← links)
• Accuracy of the Lanczos Process for the Eigenproblem and Solution of Equations (Q5203965) (← links)
• Laplacian Preconditioning of Elliptic PDEs: Localization of the Eigenvalues of the Discretized Operator (Q5232290) (← links)
• Eigenvalues versus singular values study in conjugate gradient algorithms for large-scale unconstrained optimization (Q5268936) (← links)
• Analysis of the Truncated Conjugate Gradient Method for Linear Matrix Equations (Q5885818) (← links)
• The behavior of the Gauss-Radau upper bound of the error norm in CG (Q6093978) (← links)
• Low-Memory Krylov Subspace Methods for Optimal Rational Matrix Function Approximation (Q6101128) (← links)
• Statistical properties of BayesCG under the Krylov prior (Q6153355) (← links)
• A posteriori superlinear convergence bounds for block conjugate gradient (Q6163322) (← links)
• Towards understanding CG and GMRES through examples (Q6496390) (← links)
• A review on the adaptive-ridge algorithm with several extensions (Q6581677) (← links)
• A posteriori error bounds for the block-Lanczos method for matrix function approximation (Q6664396) (← links)