Christopher C. Paige

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An Orthogonal Transformation Algorithm for GPS Positioning

Xiao-Wen Chang, Christopher C. Paige, 2003, SIAM J. Sci. Comput..

LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares

Michael A. Saunders, Christopher C. Paige, M. Saunders, 1982, TOMS.

Bounds on Changes in Ritz Values for a Perturbed Invariant Subspace of a Hermitian Matrix

Merico E. Argentati, Andrew V. Knyazev, Christopher C. Paige, 2008, SIAM J. Matrix Anal. Appl..

Hessenberg Matrix Properties and Ritz Vectors in the Finite-Precision Lanczos Tridiagonalization Process

Christopher C. Paige, Ivo Panayotov, C. Paige, 2011, SIAM J. Matrix Anal. Appl..

An Augmented Stability Result for the Lanczos Hermitian Matrix Tridiagonalization Process

Christopher C. Paige, C. Paige, 2010, SIAM J. Matrix Anal. Appl..

Two Carrier Phase Based Approaches for Autonomous Fault Detection and Exclusion

Xiao-Wen Chang, Christopher C. Paige, John Studenny, 2000 .

Properties of a Unitary Matrix Obtained from a Sequence of Normalized Vectors

Christopher C. Paige, Wolfgang Wülling, C. Paige, 2014, SIAM J. Matrix Anal. Appl..

Sensitivity analysis of the Lanczos reduction

Paul Van Dooren, Christopher C. Paige, C. Paige, 1999, Numer. Linear Algebra Appl..

Real Floquet factors of linear time-periodic systems

Raymond J. Spiteri, Christopher C. Paige, Pierre Montagnier, 2003, Syst. Control. Lett..

The computation of eigenvalues and eigenvectors of very large sparse matrices

Christopher C. Paige, C. Paige, 1971 .

Computation of a Test Statistic in Data Quality Control

Xiao-Wen Chang, Christopher C. Paige, Christian C. J. M. Tiberius, 2005, SIAM J. Sci. Comput..

Componentwise perturbation analyses for the QR factorization

Xiao-Wen Chang, Christopher C. Paige, 2001, Numerische Mathematik.

Bounds for the least squares distance using scaled total least squares

Zdenek Strakos, Christopher C. Paige, C. Paige, 2002, Numerische Mathematik.

Modified Gram-Schmidt (MGS), Least Squares, and Backward Stability of MGS-GMRES

Miroslav Rozlozník, Zdenek Strakos, Christopher C. Paige, 2006, SIAM J. Matrix Anal. Appl..

Scaled total least squares fundamentals

Christopher C. Paige, Zdeněk Strakoš, C. Paige, 2002, Numerische Mathematik.

An Algorithm for Combined Code and Carrier Phase Based GPS Positioning

Xiao-Wen Chang, Christopher C. Paige, 2003 .

MINRES-QLP: A Krylov Subspace Method for Indefinite or Singular Symmetric Systems

Michael A. Saunders, Christopher C. Paige, Sou-Cheng T. Choi, 2010, SIAM J. Sci. Comput..

Core Problems in Linear Algebraic Systems

Zdenek Strakos, Christopher C. Paige, C. Paige, 2005, SIAM J. Matrix Anal. Appl..

Residual and Backward Error Bounds in Minimum Residual Krylov Subspace Methods

Zdenek Strakos, Christopher C. Paige, C. Paige, 2001, SIAM J. Sci. Comput..

Loss and Recapture of Orthogonality in the Modified Gram-Schmidt Algorithm

Christopher C. Paige, Åke Björck, Å. Björck, 1992, SIAM J. Matrix Anal. Appl..

Algorithm 583: LSQR: Sparse Linear Equations and Least Squares Problems

Michael A. Saunders, Christopher C. Paige, M. Saunders, 1982, TOMS.

A Recursive Least Squares Approach For Carrier Phase Based Positioning

Xiao-Wen Chang, Christopher C. Paige, Liang Qiu, 2001 .

Towards A Backward Perturbation Analysis For Data Least Squares Problems

Gene H. Golub, Xiao-Wen Chang, Christopher C. Paige, 2008, SIAM J. Matrix Anal. Appl..

Numerical linear algebra in the integrity theory of the Global Positioning System

Xiao-Wen Chang, Christopher C. Paige, C. Paige, 2002, Comput. Stat. Data Anal..

Characterizing Matrices That Are Consistent with Given Solutions

Xiao-Wen Chang, David Titley-Péloquin, Christopher C. Paige, 2008, SIAM J. Matrix Anal. Appl..

The Effects of Loss of Orthogonality on Large Scale Numerical Computations

Christopher C. Paige, C. Paige, 2018, ICCSA.

Some numerical problems arising from linear systems

Christopher C. Paige, C. Paige, 1982 .

Stopping Criteria for the Iterative Solution of Linear Least Squares Problems

Xiao-Wen Chang, David Titley-Péloquin, Christopher C. Paige, 2009, SIAM J. Matrix Anal. Appl..

Eigenvalues of perturbed Hermitian matrices

Christopher C. Paige, C. Paige, 1974 .

The general linear model and the generalized singular value decomposition

Christopher C. Paige, C. Paige, 1985 .

An augmented analysis of the perturbed two-sided Lanczos tridiagonalization process

Christopher C. Paige, Ivo Panayotov, Jens-Peter M. Zemke, 2014 .

Unifying Least Squares, Total Least Squares and Data Least Squares

Christopher C. Paige, Zdeněk Strakoš, 2002 .

Euclidean distances and least squares problems for a given set of vectors

Xiao-Wen Chang, Christopher C. Paige, 2007 .

HUA'S MATRIX EQUALITY AND SCHUR COMPLEMENTS

Christopher C. Paige, Fuzhen Zhang, George P.H. Styan, 2008 .

Practical use of the symmetric Lanczos process with re-orthogonalization

Christopher C. Paige, C. Paige, 1970 .

Sensitivity analyses for factorizations of sparse or structured matrices

Xiao-Wen Chang, Christopher C. Paige, 1998 .

Perturbation Analyses for the Cholesky Downdating Problem

Xiao-Wen Chang, Christopher C. Paige, 1998 .

On the quadratic convergence of Kogbetliantz's algorithm for computing the singular value decomposition

Paul Van Dooren, Christopher C. Paige, C. Paige, 1986 .

Code and carrier phase based short baseline GPS positioning: computational aspects

Xiao-Wen Chang, Christopher C. Paige, Lan Yin, 2004 .

Analysis of the generalized total least squares problemAX≈B when some columns ofA are free of error

Musheng Wei, Christopher C. Paige, C. Paige, 1993 .

Sensitivity analysis of the Lanczos reduction

Paul Van Dooren, Christopher C. Paige, 1999 .

On the sensitivity of the LU factorization

Xiao-Wen Chang, Christopher C. Paige, 1998 .

Code and carrier phase based short baseline GPS positioning: computational aspects

Xiao-Wen Chang, Christopher C. Paige, C. Paige, 2005 .