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On the modified Gram-Schmidt algorithm for weighted and constrained linear 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/bf01939321openalex-snapshot
Iterative refinement of linear least squares solutions I
inferredcites →https://doi.org/10.1007/bf01939974openalex-snapshot
Iterative refinement of linear least squares solutions II
inferredcites →https://doi.org/10.1007/bf01955871openalex-snapshot
Iterative refinement for constrained and weighted linear least squares
inferredcites →https://doi.org/10.1016/0024-3795(83)80037-8openalex-snapshot
Numerical aspects of gram-schmidt orthogonalization of vectors
inferredcites →https://doi.org/10.1016/0024-3795(94)90493-6openalex-snapshot
Numerics of Gram-Schmidt orthogonalization
inferredcites →https://doi.org/10.1137/0613015openalex-snapshot
Loss and Recapture of Orthogonality in the Modified Gram–Schmidt Algorithm
inferredcites →https://doi.org/10.1137/0613079openalex-snapshot
Modifying the QR-Decomposition to Constrained and Weighted Linear Least Squares
inferredcites →https://doi.org/10.1137/s0895479893246029openalex-snapshot
Backward Error Analysis for the Constrained and Weighted Linear Least Squares Problem When Using the Weighted $QR$ Factorization
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/nla.384openalex-snapshot
Computing projections via Householder transformations and Gram–Schmidt orthogonalizations
inferred← citeshttps://doi.org/10.1007/s10444-016-9481-0openalex-snapshot
Minimal polynomial and reduced rank extrapolation methods are related
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Sinoatrial node cells implementation by low cost digital hardware
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Numerical stability of orthogonalization methods with a non-standard inner product
inferred← citeshttps://doi.org/10.1007/s11741-009-0304-1openalex-snapshot
Stability of the MGS-like elimination method for equality constrained least squares problems
inferred← citeshttps://doi.org/10.1007/s13160-019-00356-4openalex-snapshot
Efficient implementations of the modified Gram–Schmidt orthogonalization with a non-standard inner product
inferred← citeshttps://doi.org/10.1016/j.aeue.2022.154269openalex-snapshot
Implementation of cardiac Purkinje Fiber cells Model: High speed and low cost hardware
inferred← citeshttps://doi.org/10.1016/j.enganabound.2011.07.010openalex-snapshot
Effective condition number for weighted linear least squares problems and applications to the Trefftz method
inferred← citeshttps://doi.org/10.1016/j.jestch.2024.101888openalex-snapshot
Efficient low-cost design for high-frequency, accurate hardware implementation of cardiac Purkinje fiber cells for biomedical engineering approaches
inferred← citeshttps://doi.org/10.1016/s0024-3795(00)00213-5openalex-snapshot
Some new properties of the equality constrained and weighted least squares problem
inferred← citeshttps://doi.org/10.1023/b:bitn.0000007051.49808.04openalex-snapshot
Roundoff Error Estimates of the Modified Gram–Schmidt Algorithm with Column Pivoting
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9562000openalex-snapshot
Equality Constrained Linear Optimal Control With Factor Graphs
inferred← citeshttps://doi.org/10.1109/tbcas.2023.3233985openalex-snapshot
Efficient Digital Realization of Endocrine Pancreatic $\beta$-Cells
inferred← citeshttps://doi.org/10.1109/tcsi.2020.3026076openalex-snapshot
High Speed and Low Digital Resources Implementation of Hodgkin-Huxley Neuronal Model Using Base-2 Functions
inferred← citeshttps://doi.org/10.1109/tcsi.2023.3303941openalex-snapshot
Digital Hardware Implementation of Morris-Lecar, Izhikevich, and Hodgkin-Huxley Neuron Models With High Accuracy and Low Resources
inferred← citeshttps://doi.org/10.1137/130947003openalex-snapshot
Cholesky-Like Factorization of Symmetric Indefinite Matrices and Orthogonalization with Respect to Bilinear Forms
inferred← citeshttps://doi.org/10.11650/tjm/201202openalex-snapshot
Condition Numbers for a Linear Function of the Solution to the Constrained and Weighted Least Squares Problem and Their Statistical Estimation
inferred← citeshttps://doi.org/10.48550/arxiv.2104.02945openalex-snapshot
Optimal Control for Structurally Sparse Systems using Graphical Inference
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