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Iterative refinement implies numerical stability
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf01933236openalex-snapshot
Iterative improvement without double precision in a boundary value problem
inferredcites →https://doi.org/10.1007/bf01934122openalex-snapshot
Solving linear least squares problems by Gram-Schmidt orthogonalization
inferredcites →https://doi.org/10.1016/0016-0032(64)90390-4openalex-snapshot
Rounding errors in algebraic processes
inferredcites →https://doi.org/10.1038/202016a0openalex-snapshot
Rounding Errors in Algebraic Processes
inferredcites →https://doi.org/10.1145/321386.321394openalex-snapshot
Iterative Refinement in Floating Point
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Multistage mixed precision iterative refinement
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Componentwise Error Analysis for Stationary Iterative Methods
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Multiple Shooting Techniques Revisited
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Scalability Tests of a Finite Element Code on Hundreds of Thousands Cores and Heterogeneous Architecture
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Iterative Coordinate Partitioning Method for Enhanced Multibody Dynamics Simulation
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A recursive algorithm for the incomplete partial fraction decomposition
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Bordered augmented linear systems in numerical continuation and bifurcation
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Round-off error analysis of iterations for large linear systems
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Block elimination with one refinement solves bordered linear systems accurately
inferred← citeshttps://doi.org/10.1007/bf01933262openalex-snapshot
Iterative refinement enhances the stability ofQR factorization methods for solving linear equations
inferred← citeshttps://doi.org/10.1007/bf01936142openalex-snapshot
The accurate solution of certain continuous problems using only single precision arithmetic
inferred← citeshttps://doi.org/10.1007/bf02140689openalex-snapshot
Rank-k modification methods for recursive least squares problems
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Stability analysis of a general toeplitz systems solver
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Iterative refinement for ill-conditioned linear systems
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Mixed precision iterative refinement with adaptive precision sparse approximate inverse preconditioning
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Acceleration of iterative refinement for singular value decomposition
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Simulation at Extreme-Scale: Co-Design Thinking and Practices
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Roundoff-error analysis of a new class of conjugate-gradient algorithms
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Stability analysis of the method of seminormal equations for linear least squares problems
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The simplex method is not always well behaved
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Accuracy and effectiveness of preconditioned conjugate gradient algorithms for large and ill-conditioned problems
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Direct Methods for Solving Finite Element Equations
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An effective predictor–corrector process for large scale linear system of equations
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Note on predictor–corrector process for ill-conditioned linear system of equations
inferred← citeshttps://doi.org/10.1016/j.amc.2007.04.007openalex-snapshot
Wilkinson’s iterative refinement of solution with automatic step-size control for linear system of equations
inferred← citeshttps://doi.org/10.1016/j.apnum.2011.11.004openalex-snapshot
Iterative refinement techniques for solving block linear systems of equations
inferred← citeshttps://doi.org/10.1016/j.parco.2016.05.014openalex-snapshot
Parallel iterative refinement linear least squares solvers based on all-reduce operations
inferred← citeshttps://doi.org/10.1016/j.parco.2020.102663openalex-snapshot
AIR: Iterative refinement acceleration using arbitrary dynamic precision
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Gaussian elimination for the solution of linear systems of equations
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Numerical Analysis for Engineers and Scientists
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Mixed precision algorithms in numerical linear algebra
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Stable solution of tridiagonal systems
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A note on Wilkinson's iterative refinement of solution with automatic step-size control
inferred← citeshttps://doi.org/10.1080/00207160701753611openalex-snapshot
Iterative refinement of computing inverse matrix
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Extended version with the analysis of dynamic system for iterative refinement of solution
inferred← citeshttps://doi.org/10.1090/s0025-5718-1980-0572859-4openalex-snapshot
Iterative Refinement Implies Numerical Stability for Gaussian Elimination
inferred← citeshttps://doi.org/10.1093/imanum/17.4.495openalex-snapshot
Iterative refinement for linear systems and LAPACK
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Recent Developments in Dense Numerical Linear Algebra
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Floating point fault tolerance with backward error assertions
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Extending backward error assertions to tolerance of large errors in floating point computations
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Numerically reliable computation of characteristic polynomials
inferred← citeshttps://doi.org/10.1109/jetcas.2018.2850665openalex-snapshot
Energy-Efficient Iterative Refinement Using Dynamic Precision
inferred← citeshttps://doi.org/10.1109/tnnls.2020.3041677openalex-snapshot
Mixed-Precision Kernel Recursive Least Squares
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Iterative Refinement of Accelerations in Real-Time Vehicle Dynamics
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Large Growth Factors in Gaussian Elimination with Pivoting
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Stability Analysis of Algorithms for Solving Confluent Vandermonde-Like Systems
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Use of Iterative Refinement in the Solution of Sparse Linear Systems
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4. Stability of Fast Algorithms for Structured Linear Systems
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Accelerating the Solution of Linear Systems by Iterative Refinement in Three Precisions
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Random Matrices Generating Large Growth in LU Factorization with Pivoting
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Mixed Precision Iterative Refinement with Sparse Approximate Inverse Preconditioning
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On the Stability of the Bareiss and Related Toeplitz Factorization Algorithms
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Stabilizing the Generalized Schur Algorithm
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Newton's Method in Floating Point Arithmetic and Iterative Refinement of Generalized Eigenvalue Problems
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Scaling for Numerical Stability in Gaussian Elimination
inferred← citeshttps://doi.org/10.1145/3582493openalex-snapshot
Combining Sparse Approximate Factorizations with Mixed-precision Iterative Refinement
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A Mixed Precision Jacobi SVD Algorithm
inferred← citeshttps://doi.org/10.15377/2409-5761.2016.03.02.1openalex-snapshot
Forward Stability of Iterative Refinement with a Relaxation for Linear Systems
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Contributions to Topological Formulations for the Dynamic Simulation of Vehicles
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Henryk Woźniakowski and the complexity of continuous problems
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Stability of fast algorithms for structured linear systems
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The Accurate Solution of Certain Continuous Problems Using Only Single Precision
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