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Some modified eigenvalue problems

https://doi.org/10.1007/bfb0069447
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Numerical methods for solving linear least squares problems
inferredcites →https://doi.org/10.1007/bf01627939openalex-snapshot
Stationary values of the ratio of quadratic forms subject to linear constraints
inferredcites →https://doi.org/10.1007/bf02163027openalex-snapshot
Singular value decomposition and least squares solutions
inferredcites →https://doi.org/10.1016/0022-247x(72)90264-8openalex-snapshot
Bounds for the error of linear systems of equations using the theory of moments
inferredcites →https://doi.org/10.1090/s0025-5718-1971-0288954-8openalex-snapshot
An implementation of Christoffel’s theorem in the theory of orthogonal polynomials
inferredcites →https://doi.org/10.1090/s0025-5718-1973-0348991-3openalex-snapshot
Numerical Methods for Computing Angles Between Linear Subspaces
inferredcites →https://doi.org/10.1090/s0025-5718-69-99647-1openalex-snapshot
Calculation of Gauss Quadrature Rules
inferredcites →https://doi.org/10.1093/comjnl/12.4.398openalex-snapshot
Eigenvalues of Ax = Bx with band symmetric A and B
inferredcites →https://doi.org/10.1137/0113073openalex-snapshot
On the Stationary Values of a Second-Degree Polynomial on the Unit Sphere
inferredcites →https://doi.org/10.1137/0709009openalex-snapshot
An Algorithm for the Ill-Conditioned Generalized Eigenvalue Problem
inferredcites →https://doi.org/10.2307/1909548openalex-snapshot
An Alternative to the Bounds Test for Testing for Serial Correlation in Least-Squares Regression

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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The Parametric Quadratic Form Method for Solving TLS Problems with Elementwise Weighting
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Series expansion of weighted pseudoinverse matrices and iterative methods for calculating weighted pseudoinverse matrices and weighted normal pseudosolutions
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Expansion of weighted pseudoinverse matrices with positive definite weights into matrix power products. Iterative methods
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A Self-Stabilizing Neural Algorithm for Total Least Squares Filtering
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Expansion of weighted pseudoinverse matrices with singular weights into matrix power products and iteration methods
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Modified gradient algorithm for total least square filtering
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The Development and Comparison of Robust Methods for Estimating the Fundamental Matrix
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Limiting Representations of Weighted Pseudoinverse Matrices with Positive Definite Weights. Problem Regularization
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A survey of matrix inverse eigenvalue problems
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A discrete Gel'fand-Levitan method for band-matrix inverse eigenvalue problems
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Visualizing Spectral Bundle Adjustment Uncertainty
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Nonlinear regularization path for the modified Huber loss Support Vector Machines
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Optimal Multiband Pulse Shaping and Improved Power Spectrum Estimation Using Stopbands Information
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Nonlinear Regularization Path for Quadratic Loss Support Vector Machines
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An Algorithm for the Regularization of Ill-Conditioned, Banded Least Squares Problems
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Modified moments and Gaussian quadratures
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Improvements on Spectral Bisection
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