Photo of Jesse Barlow

Jesse Barlow

Professor

Affiliation(s):

  • School of Electrical Engineering and Computer Science
  • Computer Science and Engineering

354 Westgate

b58@psu.edu

814-863-1705

Personal or Departmental Website

Research Areas:

Interest Areas:

Numerical linear algebra, scientific computing, linear algebra in signal and image processing.

 
 

 

Education

  • BA, Computer Science and Mathematics, University of Kansas, 1977
  • MS, Computer Science, Northwestern University, 1979
  • MS, Statistics, Northwestern University, 1980
  • Ph D, Computer Science, Northwestern University, 1981

Publications

Book Reviews

  • Jesse L Barlow, 2003, Numerical Computing with IEEE Floating Point Arithmetic by M. L. Overton
  • Jesse L Barlow, 2002, Accuracy and Stability of Numerical Algorithms, by N. J. Higman
  • Jesse L Barlow, 2001, Computing with IEEE Floating Point Arithmetic, by M. L. Overton, SIAM Publications, Philadelphia, PA

Book, Chapters

  • Jesse L Barlow, 1994, Lecture Notes on Parallel Solution of the Symmetric Eigenvalue Problem, Oxford Science Publications, Oxford, United Kingdom, pp. 3-53
  • Jesse L Barlow, 1993, Numerical Aspects of Solving Least Squares Problems, Elsevier, The Netherlands, pp. 303-376

Parts of Book

  • Jesse L Barlow, 2003, Modification and Maintenance of ULV Decompositions, Kluwer Academic Publishers, pp. 31-62

Journal Articles

  • Jesse L Barlow and Geunseop Lee, 2017, "Updating approximate principal components with applications to template tracking", Numerical Linear Algebra with Applications, 24, (2), pp. 12
  • N. Jakovcevic Stor, I. Slapnicar and Jesse L Barlow, 2015, "Forward stable eigenvalue decomposition of rank-one modifications of diagonal matrices", 408, pp. 301-315
  • N. Jakovcevic Stor, I. Slapnicar and Jesse L Barlow, 2015, "Accurate Eigenvalue Decomposition of Real Symmetric Arrowhead Matrices and Applications", Linear Algebra and Its Applications, 464, pp. 62-89
  • G. Lee and Jesse L Barlow, 2014, "Two Projection Methods for Total Least Squares Approximation.", 461
  • Jesse L Barlow, 2014, "Block Gram-Schmidt Downdating.", 43, pp. 163-187
  • Jesse L Barlow and A. Smoktunowicz, 2013, "Reorthogonalized Block Classical Gram-Schmidt", Numerische Mathematik, 123, (3), pp. 395-423
  • G. Lee, Jesse L Barlow and H. Fu, 2013, "Fast High-Resolution Image Reconstruction using Tikhanov Regularization Based Total Least Squares", SIAM Journal on Scientific Computing, 35, (1), pp. B275-B290
  • Jesse L Barlow, 2013, "Reorthogonalization for Golub-Kahan-Lanczos Bidiagonalization", Numerische Mathematik, 124, (2), pp. 237-238
  • S. Yan, S. Bouaziz, D. Lee and Jesse L Barlow, 2012, "Semi-Supervised Dimensionality Reduction for Analyzing High-Dimensional Data with Constraints", Neurocomputing, 76, (1), pp. 114-124
  • Jesse L Barlow, 2010, "Editorial, Third Special Issue on Matrix Computations and Statistics", Computational Statistics & Data Analysis, 54, (12), pp. 3379-3380
  • Jesse L Barlow and Hasan Erbay, 2009, "Modifiable low-rank approximation to a matrix", Numerical Lin. Alg. with Applic., 16, (10), pp. 833–860
  • Nela Bosner and Jesse L Barlow, 2007, "Block and Parallel Versions of One-Sided Bidiagonalization", SIAM J. Matrix Analysis Applications, 29, (3), pp. 927–953
  • Jesse L Barlow, Haesun Park, Patrick J. F. Groenen and Hongyuan Zha, 2006, "2nd Special issue on matrix computations and statistics", Computational Statistics & Data Analysis, 50, (1), pp. 1–4
  • Haoying Fu, Michael K. Ng, Mila Nikolova and Jesse L Barlow, 2006, "Efficient Minimization Methods of Mixed l2-l1 and l1-l1 Norms forImage Restoration", SIAM J. Scientific Computing, 27, (6), pp. 1881–1902
  • H. Fu, M. Ng, M. Nikolova and Jesse L Barlow, 2006, "Efficient Minimization of Mixed Norms for Image Restoration", SIAM Journal on Scientific Computing, 27, (6), pp. 1881-1902
  • H. Erbay and Jesse L Barlow, 2006, "An Alternative Algorithm for a Sliding Window ULV Decomposition", Computing, 76, (12), pp. 55-66
  • H. Fu, M. Ng and Jesse L Barlow, 2006, "Structural Total Least Squares for Color Image Restoration", SIAM Journal on Scientific Computing, 28, (3), pp. 1100-1119
  • A. Smoktunowicz, Jesse L Barlow and J. Langou, 2006, "A Note on the Error Analysis of Classical Gram-Schmidt", Numerische Mathematik, 105, (2), pp. 299-313
  • Jesse L Barlow, N. Bosner and Z. Drmac, 2005, "A New Stable Bidiagonal Reduction Algorithm", Linear Algebra and Its Applications, 397, (1), pp. 35-84
  • Jesse L Barlow, A. Smoktunowicz and H. Erbay, 2005, "Improved Gram-Schmidt Type Downdating Methods", BIT, 45, (2), pp. 259-285
  • Jesse L Barlow, Hasan Erbay and Ivan Slapnicar, 2005, "An Alternative Algorithm for the Refinement of ULV Decompositions", SIAM J. Matrix Analysis Applications, 27, (1), pp. 198–211
  • H. Fu and Jesse L Barlow, 2004, "A Regularized Structured Total Least Squares Algorithm for High Resolution Image Reconstruction", Linear Algebra and Its Applications, 391, (1), pp. 75-98
  • Jesse L Barlow, B. N. Parlett and K. Veselic, 2003, "Preface", Linear Algebra and Its Applications, Second Special Issue on Accurate Solution of Eigenvalue Problems, 358, (1-3), pp. 1-3
  • Hasan Erbay, Jesse L Barlow and Zhenyue Zhang, 2002, "A modified Gram-Schmidt-based downdating technique for ULV decompositionswith applications to recursive TLS problems", Computational Statistics & Data Analysis, 41, (1), pp. 195–209
  • Jesse L Barlow, 2002, "More Accurate Bidiagonal Reduction for Computing the Singular ValueDecomposition", SIAM J. Matrix Analysis Applications, 23, (3), pp. 761–798
  • Jesse L Barlow, Michael W. Berry, Axel Ruhe and Hongyuan Zha, 2002, "Preface", Computational Statistics & Data Analysis, 41, (1), pp. 1–2
  • Jesse L Barlow, 2001, "Computing the Fundamental Matrix of Markov Chain", SIAM Journal on Matrix Analysis and Applications, 22, (1), pp. 230-241
  • Jesse L Barlow, B. Parlett and K. Veselic, 2000, "Preface", Linear Algebra and Its Applications-Special Issue of Accurate Solution of Eigenvalue Problems, 309, (1-3), pp. 1-2
  • Jesse L Barlow and I. Slapnicar, 2000, "Optimal Perturbation Bounds for the Hermitian Eigenvalue Problem", Linear Algebra and Its Applications-Special Issue of Accurate Solution of Eigenvalue Problems, 309, (1-3), pp. 19-43
  • Jesse L Barlow and Peter A Yoon, 1998, "An Ecient Rank Detection Procedure for Modifying the ULV Decomposition", 28, (4), pp. 781-801
  • Jesse L Barlow and Hongyuan Zha, 1998, "Growth in Gaussian Elimination, Orthogonal Matrices, and the Euclidean Norm", SIAM J. Matrix Analysis Applications, pp. 807-815
  • Jesse L Barlow, Peter A. Yoon and Hongyuan Zha, 1996, "An algorithm and a stability theory for downdating the ULV decomposition", BIT, 36, pp. 14-40
  • Jesse L Barlow and Szu-Min Lu, 1996, "Multifrontal Computation with the Orthogonal Factors of Sparse Matrices", SIAM J. Matrix Analysis Applications, 17, pp. 658-679
  • Jesse L Barlow and Peter A. Yoon, 1996, "Modifying the Singular Value Decomposition on the Connection Machine", International Journal of High Speed Computing, 8, (2), pp. 145–170
  • Jesse L Barlow and Gerardo Toraldo, 1995, "The effect of diagonal scaling on projected gradient methods for bound constrained quadratic programming problems", Optimization Methods and Software, pp. 235-245
  • Jesse L Barlow and Susan L. Handy, 1994, "The Numerical Solution of Banded, Toeplitz Eigenvalue Problems,", SIAM J. Matrix Analysis Applications, 15, (1), pp. 205-214
  • Jesse L Barlow, 1993, "Perturbation results for nearly uncoupled Markov chains with applications to iterative methods", Numerische Mathematik, 65, (1), pp. 51-62
  • Jesse L Barlow, 1993, "Error Bounds and condition estimates for the computation of null vectors with applications to Markov chains", SIAM J. Matrix Analysis Applications, pp. 798-812
  • Jesse L Barlow, 1993, "Error analysis of update methods for the symmetric eigenvalue problem,", SIAM J. Matrix Analysis Applications, 14, (2), pp. 598-618
  • Jesse L Barlow and Udaya B. Vemulapati, 1992, "A note on deferred correction for equality constrained least squares problems", SIAM J. on Numerical Analysis
  • Jesse L Barlow and Udaya B. Vemulapati, 1992, "`Rank detection methods for sparse matrices", SIAM J. Matrix Analysis Applications
  • Jesse L Barlow, 1991, "Error Analysis of a Pairwise Summation Method for Computing the Sample Variance", Numerische Mathematik
  • Jesse L Barlow, 1990, "On the Use of Structural Zeros in Orthogonal Factorization", SIAM Journal on Scientific Computing, 11, (3), pp. 600–601
  • Jesse L Barlow and James W. Demmel, 1990, "Computing Accurate Eigensystems of Scaled Diagonally Dominant Matrices", SIAM J. on Numerical Analysis
  • Jesse L Barlow and Udaya B. Vemulapati, 1990, "An Improved Method for One-Way Dissection with Singular Diagonal Blocks", SIAM J. Matrix Analysis Applications
  • Jesse L Barlow and Susan L. Handy, 1988, "The Direct Solution of Weighted and Equal Constrained Least Squares Problems", SIAM Journal on Scientific and Statistical Computing
  • Jesse L Barlow, Nancy K. Nichols and Robert J. Plemmons, 1988, "A Conjugate Gradient Method for the Solution of Equality Constrained Least Squares Problems", SIAM Journal on Scientific and Statistical Computing
  • Jesse L Barlow, 1988, "Error Analysis and Implementation Aspects of Deferred Correction for Equality Constrained Least Squares Problems", SIAM J. on Numerical Analysis
  • Richard J. Zaccone and Jesse L Barlow, 1987, "Eliminating the Normalization Problem in Digit On-Line Arithmetic", IEEE Transactions on Computers, 36, (1), pp. 36–46
  • Jesse L Barlow, 1986, "On the Smallest Positive Singular Value of an Singular M-matrix with Applications to Ergodic Markov Chains", SIAM Journal on Algebraic and Discrete Methods
  • Jesse L Barlow and Ilse C.F. Ipsen, 1986, "Parallel Scaled Givens Rotations for the Solution of Linear Least Squares Problems on a Systolic Array", SIAM Journal on Scientific and Statistical Computing
  • Jesse L Barlow, 1986, "A Note on Monitoring the Stability of Triangular Decomposition of Sparse Matrices", SIAM Journal on Scientific and Statistical Computing
  • Jesse L Barlow and Erwin H. Bareiss, 1985, "On roundoff error distributions in floating point and logarithmicarithmetic", Computing, 34, (4), pp. 325–347
  • Jesse L Barlow and Erwin H. Bareiss, 1985, "Probabilistic error analysis of gaussian elimination in floating pointand logarithmic arithmetic", Computing, 34, (4), pp. 349–364
  • Jesse L Barlow, 1985, "Stability Analysis of the G-algorithm and a Note on its Application to Sparse Least Squares Problems", BIT
  • Jesse L Barlow and Erwin H Bareiss, 1980, "Roundoff Error Distribution in Fixed Point Multiplication", BIT

Conference Proceedings

  • Ichitaro Yamazaki, Stanimire Tomov, Jakub Kurzak, Jack Dongarra and Jesse L Barlow, 2015, "Mixed-precision Block Gram Schmidt Orthogonalization", ACM, New York, NY, USA, pp. 2:1–2:8
  • S. Yan, H. Wang, Jesse L Barlow and D. Lee, 2009, "Semi-Supervised Document Clustering by Approximate Structure Preserving Dimension Reduction", Proceedings of the SIAM Text Mining Workshop, in conjunction with SDM 2009
  • Xin Yang, Haoying Fu, Hongyuan Zha and Jesse L Barlow, 2006, "Semi-supervised nonlinear dimensionality reduction", pp. 1065–1072
  • Jesse L Barlow, Lia and Hongyuan Zha, 2005, "Efficient Block Noise Removal Based on Nonlinear Manifolds", pp. 549-556
  • H. Fu, M. Ng and Jesse L Barlow, 2005, "Structured Total Least Squares for Color Image Restoration", Proceedings of the Third IASC World Conference on Computational Statistics & Data Analysis
  • , 2005, "10th IEEE International Conference on Computer Vision (ICCV 2005), 17-20 October 2005, Beijing, China", IEEE Computer Society
  • , 2005, "Computational Science and Its Applications - ICCSA 2005, International Conference, Singapore, May 9-12, 2005, Proceedings, Part IV", Springer, 3483
  • Haoying Fu, Hongyuan Zha and Jesse L Barlow, 2005, "Efficient Block Noise Removal Based on Nonlinear Manifolds", pp. 549–556
  • Haoying Fu, Michael K. Ng, Mila Nikolova, Jesse L Barlow and Wai-Ki Ching, 2005, "Fast Algorithms for l1 Norm/Mixed l1 and l2 Norms for Image Restoration", pp. 843–851
  • Jesse L Barlow, A. Smoktunowicz and H. Erbay, 2001, "An Evaluation of Gram-Schmidt-type Downdating Techniques", 4474, (1), pp. 273-284
  • Jesse L Barlow and H. Erbay, 2000, "An Algorithm for Recursive ULV Decomposition with a New Refinement Procedure", Proceedings of the International Symposium on Optical Science and Technology, pp. 157-166
  • H. Erbay and Jesse L Barlow, 2000, "Recursive ULV Decomposition and an Alternative Refinement Algorithm", SPIE Proceedings of the Forty-Fifth Symposium, 4116, (1), pp. 157-166
  • Jesse L Barlow and Peter A. Yoon, 1997, "Solving Recursive TLS Problems using the rank{ revealing ULV decomposition", SIAM Publications, Philadelphia, PA, United States, pp. 117-126
  • Peter A. Yoon and Jesse L Barlow, 1995, "Modifying the Singular Value Decompositions on the Connection Machine", pp. 33–38
  • Jesse L Barlow and Szu-Min Lu, 1993, "Parallel computation of orthogonal factors of sparse matrices,", SIAM Publications, Philadelphia, PA, United States, 1, pp. 486-490
  • Jesse L Barlow, 1990, "Solution of Sparse Weighted and Equality Constrained Least Squares Problems"
  • Jesse L Barlow, 1990, "Solution of Sparse Weighted and Equality Constrained Least Squares Problems"
  • Jesse L Barlow and Udaya B. Vemulapati, 1989, "Incremental Condition Estimator for Parallel Sparse Matrix Factorization", pp. 57–59
  • Richard J. Zaccone and Jesse L Barlow, 1985, "Improved normalization results for digit on-line arithmetic", pp. 20–27
  • Jesse L Barlow and Suchitra Gupta, 1985, "Numerical Methods and Matrix Splittings for Higher Order Two-Point Boundary Value Problems", Computers and Computing, Wiley, Paris, France, pp. 4
  • Jesse L Barlow, 1981, "On the Distribution of Accumulated Rounding Error in Floating Point Arithmetic", Fifth IEEE Symposium on Computer Arithmetic

Abstracts

  • Jesse L Barlow, 2015, "Block Gram-Schmidt Downdating", Electronic transactions on numerical analysis

Research Projects

  • August 2011 - July 2015, "AF:Small: New and Improved Algorithms for Minimization and Subspace Tracking," (Sponsor: National Science Foundation).
  • August 2011 - July 2014, "AF:Small: New and Improved Algorithms for Minimization and Subspace Tracking," (Sponsor: National Science Foundation/Computing and Communication Foundation).
  • August 1985 - July 1998, "Numerical Solution of Eigenvalue Problems and Related Least Squares Problems," (Sponsor: NSF).

Honors and Awards

  • SIAG Prize for Best Paper in Numerical Linear Algebra, in the period 1988-1991, 1992
  • Leslie Fox Prize, 1986
  • Mathematics Departmental Scholarships, University of Kansas, 1974 - 1977

Service

Service to Penn State:

  • Member, Faculty Senate, August 2016 - September 2017
  • Member, Recruiting Committee, September 2016 - September 2017
  • Committee Member, Graduate Committee, August 2009 - July 2016
  • Advisor, Undergraduate Honors Advising (Computer Engineering), 2015 - 2016
  • Committee Member, Climate/Social Committee, August 2014 - July 2016
  • Committee Member, Teaching Load Committee, August 2013 - July 2014
  • Committee Member, Outreach Committee, August 2012 - July 2013
  • Committee Member, Climate/Social and Faculty Development Committee, August 2011 - July 2012
  • Advisor, Undergraduate Honors Advising (Computer Engineering), 2010 - 2012
  • Committee Member, Engineering Environmental Institute Committee, 2008

Service to External Organizations:

  • Member, National League of Cities, Jesse Barlow, January 2017 - January 2018
  • Chairperson, Organizing Committee, June 2014
  • Chairperson, Organizing Committee, June 2012
  • Chairperson, Organizing Committee, June 2011
  • Member, International Linear Algebra Society, Hans Schneider Prize Committee, 2001 - 2002
  • Member, International Linear Algebra Society, Hans Schneider Prize Committee, 2001 - 2002
 


 

About

The School of Electrical Engineering and Computer Science was created in the spring of 2015 to allow greater access to courses offered by both departments for undergraduate and graduate students in exciting collaborative research in fields.

We offer B.S. degrees in electrical engineering, computer science, computer engineering and data science and graduate degrees (master's degrees and Ph.D.'s) in electrical engineering and computer science and engineering. EECS focuses on the convergence of technologies and disciplines to meet today’s industrial demands.

School of Electrical Engineering and Computer Science

The Pennsylvania State University

209 Electrical Engineering West

University Park, PA 16802

814-863-6740

Department of Computer Science and Engineering

814-865-9505

Department of Electrical Engineering

814-865-7667