Jesse L. Barlow

发表

Recursive ULV decomposition

Hasan Erbay, Jesse L. Barlow, J. Barlow, 2000, SPIE Optics + Photonics.

An Alternative Algorithm for the Refinement of ULV Decompositions

Hasan Erbay, Jesse L. Barlow, Ivan Slapnicar, 2005, SIAM J. Matrix Anal. Appl..

Modified Gram-Schmidt-based downdating technique for ULV decompositions with applications to recursive TLS problems

Hasan Erbay, Jesse L. Barlow, Zhenyue Zhang, 1999, Optics & Photonics.

On the Use of Structural Zeros in Orthogonal Factorization

Jesse L. Barlow, 1990, SIAM J. Sci. Comput..

Hongyuan Zha, Jesse L. Barlow, Michael W. Berry, 2002, Comput. Stat. Data Anal..

Probabilistic error analysis of gaussian elimination in floating point and logarithmic arithmetic

Jesse L. Barlow, Erwin H. Bareiss, 2005, Computing.

A modified Gram-Schmidt-based downdating technique for ULV decompositions with applications to recursive TLS problems

Hasan Erbay, Jesse L. Barlow, Zhenyue Zhang, 2002, Comput. Stat. Data Anal..

An Alternative Algorithm for a Sliding Window ULV Decomposition

Jesse L. Barlow, H. Erbay, J. Barlow, 2005, Computing.

Two-step Gram-Schmidt downdating methods

Hasan Erbay, Jesse L. Barlow, Alicja Smoktunowicz, 2001, SPIE Optics + Photonics.

Reorthogonalized block classical Gram–Schmidt

Jesse L. Barlow, Alicja Smoktunowicz, J. Barlow, 2011, Numerische Mathematik.

Regularization in ultrasound tomography using projection-based regularized total least squares

Jesse L. Barlow, Jiayu He, Anita Carevic, 2020 .

Efficient block noise removal based on nonlinear manifolds

Hongyuan Zha, Jesse L. Barlow, Haoying Fu, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

3rd Special issue on matrix computations and statistics

Jesse L. Barlow, Lars Eldén, Paolo Foschi, 2010, Comput. Stat. Data Anal..

Mixed-precision block gram Schmidt orthogonalization

Jack J. Dongarra, Stanimire Tomov, Ichitaro Yamazaki, 2015, ScalA '15.

Multifrontal Computation with the Orthogonal Factors of Sparse Matrices

Jesse L. Barlow, Szu-Min Lu, J. Barlow, 1996, SIAM J. Matrix Anal. Appl..

2nd Special issue on matrix computations and statistics

Hongyuan Zha, Jesse L. Barlow, Haesun Park, 2006, Comput. Stat. Data Anal..

Error analysis in unnormalized floating point arithmetic

Jesse L. Barlow, Richard J. Zaccone, 1991, Optics & Photonics.

Modifying two-sided orthogonal decompositions: algorithms, implementation, and applications

Jesse L. Barlow, Peter Yoon, J. Barlow, 1996 .

Block and Parallel Versions of One-Sided Bidiagonalization

Jesse L. Barlow, Nela Bosner, J. Barlow, 2007, SIAM J. Matrix Anal. Appl..

Updating approximate principal components with applications to template tracking

Jesse L. Barlow, Geunseop Lee, 2017, Numer. Linear Algebra Appl..

On roundoff error distributions in floating point and logarithmic arithmetic

Jesse L. Barlow, Erwin H. Bareiss, J. Barlow, 1985, Computing.

Modifying the Singular Value Decomposition on the Connection Machine

Jesse L. Barlow, Peter A. Yoon, 1995, Int. J. High Speed Comput..

A Two-Phase Gradient Method for Quadratic Programming Problems with a Single Linear Constraint and Bounds on the Variables

Daniela di Serafino, Gerardo Toraldo, Jesse L. Barlow, 2017, SIAM J. Optim..

Solving the ultrasound inverse scattering problem of inhomogeneous media using different approaches of total least squares algorithms

Jesse L. Barlow, Xingzhao Yun, Anita Carevic, 2018, Medical Imaging.

More Accurate Bidiagonal Reduction for Computing the Singular Value Decomposition

Jesse L. Barlow, J. Barlow, 2001, SIAM J. Matrix Anal. Appl..

A Conjugate Gradient Method For The Solution Of Equality Constrained Least Squares Problems

Jesse L. Barlow, Nancy Nichols, Robert J. Plemmons, 1986, Optics & Photonics.

A note on the error analysis of classical Gram–Schmidt

Julien Langou, Jesse L. Barlow, Alicja Smoktunowicz, 2006, Numerische Mathematik.

Fast Algorithms for l1 Norm/Mixed l1 and l2 Norms for Image Restoration

Mila Nikolova, Michael K. Ng, Wai-Ki Ching, 2005, ICCSA.

Modifiable low‐rank approximation to a matrix

Hasan Erbay, Jesse L. Barlow, J. Barlow, 2009, Numer. Linear Algebra Appl..

Efficient Minimization Methods of Mixed l2-l1 and l1-l1 Norms for Image Restoration

Mila Nikolova, Michael K. Ng, Jesse L. Barlow, 2005, SIAM J. Sci. Comput..

Error bounds for the computation of null vectors with applications to Markov chains

Jesse L. Barlow, 1993 .

Structured Total Least Squares for Color Image Restoration

Michael K. Ng, Jesse L. Barlow, Haoying Fu, 2006, SIAM J. Sci. Comput..

Stable chasing algorithms for modifying complete and partial singular value decompositions

Hongyuan Zha, Jesse L. Barlow, Peter A. Yoon, 1993, Optics & Photonics.

Improved normalization results for digit on-line arithmetic

Jesse L. Barlow, Richard J. Zaccone, 1985, 1985 IEEE 7th Symposium on Computer Arithmetic (ARITH).

Semi-supervised nonlinear dimensionality reduction

Xin Yang, Hongyuan Zha, Jesse L. Barlow, 2006, ICML.

Eliminating the Normalization Problem in Digit On-Line Arithmetic

Jesse L. Barlow, Richard J. Zaccone, 1987, IEEE Transactions on Computers.

Semi-supervised dimensionality reduction for analyzing high-dimensional data with constraints

Dongwon Lee, Su Yan, Jesse L. Barlow, 2012, Neurocomputing.

Rank Detection Methods for Sparse Matrices

Jesse L. Barlow, U. B. Vemulapati, Udaya B. Vemulapati, 1992, SIAM J. Matrix Anal. Appl..

Using Filter Factors for Regularization in Ultrasound Tomography

Jesse L. Barlow, Mohamed Almekkawy, Anita Carevic, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Solving recursive TLS problems using the rank-revealing ULV decomposition

Jesse L. Barlow, Peter Yoon, J. Barlow, 1997 .

Incremental Condition Estimator for Parallel Sparse Matrix Factorization

Jesse L. Barlow, U. B. Vemulapati, Udaya B. Vemulapati, 1989, Proceedings of the Fifth Distributed Memory Computing Conference, 1990..

Stable Computation with the Fundamental Matrix of a Markov Chain

Jesse L. Barlow, J. Barlow, 2000, SIAM J. Matrix Anal. Appl..

The effect of diagonal scaling on projected gradient methods for bound constrained quadratic programming problems

Gerardo Toraldo, Jesse L. Barlow, G. Toraldo, 1995 .

Optimal perturbation bounds for the Hermitian eigenvalue problem

Jesse L. Barlow, Ivan Slapničar, 2000 .

Scaled givens rotations for the solution of linear least squares problems on systolic arrays

Ilse C. F. Ipsen, Jesse L. Barlow, J. Barlow, 1987 .

Improved Gram–Schmidt Type Downdating Methods

Hasan Erbay, Jesse L. Barlow, Alicja Smoktunowicz, 2005 .

Forward stable eigenvalue decomposition of rank-one modifications of diagonal matrices

Jesse L. Barlow, Ivan Slapnicar, Nevena Jakovcevic Stor, 2014, 1405.7537.

Accurate eigenvalue decomposition of real symmetric arrowhead matrices and applications

Jesse L. Barlow, Ivan Slapnicar, Nevena Jakovcevic Stor, 2013, 1302.7203.

On the smallest positive singular value of a singular M -matrix with applications to ergodic Markov chains

Jesse L. Barlow, J. Barlow, 1986 .

Growth in Gaussian Elimination, Orthogonal Matrices, and the 2-Norm

Hongyuan Zha, Jesse L. Barlow, 1998 .

Numerical Solution of the Eigenproblem for Banded, Symmetric ToeplitzMatrices

Jesse L. Barlow, J. Barlow, S. Handy, 1994 .

Modification and Maintenance of ULV Decompositions

Jesse L. Barlow, J. Barlow, 2002 .

Accurate eigenvalue decomposition of arrowhead matrices and applications

Jesse L. Barlow, Ivan Slapničar, Nevena Jakovčević Stor, 2013 .

Parallel Scaled Givens Rotations for the Solution of Linear Least Squares Problems.

Jesse L. Barlow, I. C. F. Ipsen, 1984 .