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Rank-k modification methods for recursive least squares problems
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-75536-1_3openalex-snapshot
Error Analysis of Least Squares Algorithms
inferredcites →https://doi.org/10.1007/978-3-642-75536-1_33openalex-snapshot
Modifications of the Normal Equations Method that are Numerically Stable
inferredcites →https://doi.org/10.1007/bf01932150openalex-snapshot
Iterative refinement implies numerical stability
inferredcites →https://doi.org/10.1007/bf01934122openalex-snapshot
Solving linear least squares problems by Gram-Schmidt orthogonalization
inferredcites →https://doi.org/10.1016/0024-3795(87)90101-7openalex-snapshot
Stability analysis of the method of seminormal equations for linear least squares problems
inferredcites →https://doi.org/10.1016/0024-3795(88)90158-9openalex-snapshot
Analysis of a recursive least squares hyperbolic rotation algorithm for signal processing
inferredcites →https://doi.org/10.1016/0024-3795(94)90493-6openalex-snapshot
Numerics of Gram-Schmidt orthogonalization
inferredcites →https://doi.org/10.1016/0377-0427(89)90363-4openalex-snapshot
Least squares modifications with inverse factorizations: Parallel implications
inferredcites →https://doi.org/10.1080/01621459.1978.10480020openalex-snapshot
Comment on the Iterative Refinement of Least-Squares Solutions
inferredcites →https://doi.org/10.1090/s0025-5718-1974-0343558-6openalex-snapshot
Methods for Modifying Matrix Factorizations
inferredcites →https://doi.org/10.1090/s0025-5718-1976-0431641-8openalex-snapshot
Reorthogonalization and stable algorithms for updating the Gram-Schmidt 𝑄𝑅 factorization
inferredcites →https://doi.org/10.1093/imamat/23.2.203openalex-snapshot
The Effects of Rounding Error on an Algorithm for Downdating a Cholesky Factorization
inferredcites →https://doi.org/10.1109/29.31277openalex-snapshot
Stabilized hyperbolic Householder transformations
inferredcites →https://doi.org/10.1109/icassp.1989.266669openalex-snapshot
Stabilized hyperbolic Householder transformations
inferredcites →https://doi.org/10.1109/tassp.1986.1164998openalex-snapshot
Hyperbolic householder transformations
inferredcites →https://doi.org/10.1137/0613015openalex-snapshot
Loss and Recapture of Orthogonality in the Modified Gram–Schmidt Algorithm
inferredcites →https://doi.org/10.1137/0912056openalex-snapshot
Stability Analysis and Improvement of the Block Gram–Schmidt Algorithm
inferredcites →https://doi.org/10.1137/1.9781611971163openalex-snapshot
The Symmetric Eigenvalue Problem
inferredcites →https://doi.org/10.1137/s089547989222895xopenalex-snapshot
Accurate Downdating of Least Squares Solutions
inferredcites →https://doi.org/10.2307/2006365openalex-snapshot
The State of the Art in Numerical Analysis.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-319-05089-8_2openalex-snapshot
Linear Least Squares Problems
inferred← citeshttps://doi.org/10.1007/978-3-642-46992-3_40openalex-snapshot
Parallel Strategies for Estimating the Parameters of a Modified Regression Model on a SIMD Array Processor
inferred← citeshttps://doi.org/10.1007/bf01731982openalex-snapshot
Perturbation and error analyses for block downdating of a Cholesky decomposition
inferred← citeshttps://doi.org/10.1007/pl00009283openalex-snapshot
Parallel Strategies for Computing the Orthogonal Factorizations Used in the Estimation of Econometric Models
inferred← citeshttps://doi.org/10.1016/j.apnum.2003.11.009openalex-snapshot
Efficient algorithms for block downdating of least squares solutions
inferred← citeshttps://doi.org/10.1016/j.cam.2003.08.024openalex-snapshot
Computational methods for modifying seemingly unrelated regressions models
inferred← citeshttps://doi.org/10.1016/j.jestch.2016.09.015openalex-snapshot
Recursive B-spline approximation using the Kalman filter
inferred← citeshttps://doi.org/10.1016/j.laa.2017.08.019openalex-snapshot
A recursive three-stage least squares method for large-scale systems of simultaneous equations
inferred← citeshttps://doi.org/10.1016/j.parco.2008.01.002openalex-snapshot
Parallel algorithms for downdating the least squares estimator of the regression model
inferred← citeshttps://doi.org/10.1016/s0167-8191(02)00132-1openalex-snapshot
Greedy Givens algorithms for computing the rank-k updating of the QR decomposition
inferred← citeshttps://doi.org/10.1016/s0167-8191(99)00043-5openalex-snapshot
Recursive least-squares using a hybrid Householder algorithm on massively parallel SIMD systems
inferred← citeshttps://doi.org/10.1023/a:1008617207791openalex-snapshot
Computing 3SLS Solutions of Simultaneous Equation Models with a Possible Singular Variance–Convariance Matrix
inferred← citeshttps://doi.org/10.1109/78.482114openalex-snapshot
On the stability of sequential updates and downdates
inferred← citeshttps://doi.org/10.1109/shpcc.1994.296715openalex-snapshot
Parallel windowed block recursive least squares
inferred← citeshttps://doi.org/10.1137/s1064827598347423openalex-snapshot
Schur-Type Methods for Solving Least Squares Problems with Toeplitz Structure
inferred← citeshttps://doi.org/10.1287/ijoc.2021.0331openalex-snapshot
Exact Matrix Factorization Updates for Nonlinear Programming
inferred← citeshttps://doi.org/10.20535/s0021347018110018openalex-snapshot
Адаптивные решетчатые фильтры для систем пространственно-временной обработки нестационарных гауссовых процессов
inferred← citeshttps://doi.org/10.3103/s0735272718110018openalex-snapshot
Adaptive Lattice Filters for Systems of Space-Time Processing of Non-Stationary Gaussian Processes
inferred← citeshttps://doi.org/10.35662/unine-thesis-1795openalex-snapshot
Numerical algorithms for estimating least squares problems
inferred← citeshttps://doi.org/10.4208/eajam.171219.220220openalex-snapshot
Block Updating/Downdating Algorithms for Regularised Least Squares Problems and Applications to Linear Discriminant Analysis
inferred← citeshttps://doi.org/10.4995/thesis/10251/104923openalex-snapshot
On Updating Preconditioners for the Iterative Solution of Linear Systems
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