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A method for computing the generalized singular value decomposition
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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The Jacobi method for real symmetric matrices
inferredcites →https://doi.org/10.1137/0702016openalex-snapshot
Calculating the Singular Values and Pseudo-Inverse of a Matrix
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The Rotation of Eigenvectors by a Perturbation. III
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A General Matrix Eigenvalue Algorithm
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Generalizing the Singular Value Decomposition
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Towards a Generalized Singular Value Decomposition
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On the Perturbation of Pseudo-Inverses, Projections and Linear Least Squares Problems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Evaluating products of matrix pencils and collapsing matrix products
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An algorithm for computing the spectral structure of a singular linear matrix pencil
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The generalized singular value decomposition and the general (A-λB)-problem
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Methods and algorithms of solving spectral problems for polynomial and rational matrices
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Modifying the generalized singular value decomposition with application with application in direction-of-arrival finding
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On differentiability of the matrix trace operator and its applications
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A generalized SVD analysis of some weighting methods for equality constrained least squares
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Computing the generalized singular values/vectors of large sparse or structured matrix pairs
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Structure-preserving joint Lanczos bidiagonalization with thick-restart for the partial quaternion GSVD
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Pencils of complex and real symmetric and skew matrices
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History and generality of the CS decomposition
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8 Some Matrix Results Useful in Psychometric Research
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Stably Computing the Kronecker Structure and Reducing Subspaces of Singular Pencils A-λ for Uncertain Data
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Chapter 6 A survey of matrix computations
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Computation Of The Generalized Singular Value Decomposition Using Mesh-Connected Processors
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Analysis and Properties of the Generalized Total Least Squares Problem $AX \approx B$ When Some or All Columns in A are Subject to Error
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An Algorithm for $Ax = \lambda Bx$ with Symmetric and Positive-Definite A and B
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Jacobi’s Method is More Accurate than QR
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RGSVD—AN Algorithm for Computing the Kronecker Structure and Reducing Subspaces of Singular $A - \lambda B$ Pencils
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On Jacobi Methods for Singular Value Decompositions
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Fifty Three Matrix Factorizations: A Systematic Approach
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Solving Ill-Conditioned and Singular Linear Systems: A Tutorial on Regularization
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A New Approach to Generalized Singular Value Decomposition
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On Accurate Quotient Singular Value Computation in Floating-Point Arithmetic
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The singular value decomposition in multivariate statistics
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