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Ming Gu 0002
Person information
- affiliation: University of California Berkeley, Department of Mathematics, CA, USA
- affiliation: University of California, Los Angeles, CA, USA
Other persons with the same name
- Ming Gu — disambiguation page
- Ming Gu 0001 — Tsinghua University, School of Software, Beijing, China
- Ming Gu 0003 — California Insititute of Technology, Pasadena, CA, USA
- Ming Gu 0004 — Tongji University, State Key Laboratory for Disaster Reduction in Civil Engineering, Shanghai, China
- Ming Gu 0005 — China Petrochemical & Chemical Corporation, Beijing, China
- Ming Gu 0006 — Sun Yat-Sen University, China
- Ming Gu 0007 — ShenZhen Polytechnic, ShenZhen, China
- Ming Gu 0008 — Iwatt Inc., Campbell, Dialog Semiconductor, CA, USA (and 2 more)
- Ming Gu 0009
— Fu Jen Catholic University, Graduate Institute of Business Administration, New Taipei City, Taiwan (and 1 more)
- Ming Gu 0010
— South China University of Technology, School of Computer Science and Engineering, Guangzhou, China (and 1 more)
- Ming Gu 0011 — Tiansuan Lab, Ant Group
- Ming Gu 0012 — China Academy of Space Technology, CAST, Beijing Institute of Spacecraft System Engineering, Beijing, China
- Ming Gu 0013 — Voyan Technology, Santa Clara, CA, USA (and 1 more)
- Ming Gu 0014
— Zhejiang University, College of Computer Science and Technology, China
- Ming Gu 0015 — Changzhou University, School of Petroleum Engineering, China
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Journal Articles
- 2020
- [j49]Jed A. Duersch
, Ming Gu:
Randomized Projection for Rank-Revealing Matrix Factorizations and Low-Rank Approximations. SIAM Rev. 62(3): 661-682 (2020) - 2019
- [j48]Yan Dou
, Ming Gu, Shivkumar Chandrasekaran:
An efficient algorithm for bounded spectral matching with affine constraint. Numer. Linear Algebra Appl. 26(5) (2019) - 2018
- [j47]Eric Hallman, Ming Gu:
LSMB: Minimizing the Backward Error for Least-Squares Problems. SIAM J. Matrix Anal. Appl. 39(3): 1295-1317 (2018) - [j46]Yuehua Feng
, Jianwei Xiao, Ming Gu:
Randomized Complete Pivoting for Solving Symmetric Indefinite Linear Systems. SIAM J. Matrix Anal. Appl. 39(4): 1616-1641 (2018) - [j45]Jed A. Duersch
, Meiyue Shao
, Chao Yang, Ming Gu:
A Robust and Efficient Implementation of LOBPCG. SIAM J. Sci. Comput. 40(5): C655-C676 (2018) - 2017
- [j44]Jed A. Duersch
, Ming Gu:
Randomized QR with Column Pivoting. SIAM J. Sci. Comput. 39(4) (2017) - 2016
- [j43]Xiangke Liao, Shengguo Li, Lizhi Cheng, Ming Gu:
An improved divide-and-conquer algorithm for the banded matrices with narrow bandwidths. Comput. Math. Appl. 71(10): 1933-1943 (2016) - 2015
- [j42]James Demmel, Laura Grigori, Ming Gu, Hua Xiang:
Communication Avoiding Rank Revealing QR Factorization with Column Pivoting. SIAM J. Matrix Anal. Appl. 36(1): 55-89 (2015) - [j41]Ming Gu:
Subspace Iteration Randomization and Singular Value Problems. SIAM J. Sci. Comput. 37(3) (2015) - 2014
- [j40]Shengguo Li, Ming Gu, Lizhi Cheng:
Fast structured LU factorization for nonsymmetric matrices. Numerische Mathematik 127(1): 35-55 (2014) - [j39]Shengguo Li, Ming Gu, Lizhi Cheng, Xuebin Chi, Meng Sun:
An Accelerated Divide-and-Conquer Algorithm for the Bidiagonal SVD Problem. SIAM J. Matrix Anal. Appl. 35(3): 1038-1057 (2014) - [j38]Shengguo Li, Ming Gu, Beresford N. Parlett:
An Improved DQDS Algorithm. SIAM J. Sci. Comput. 36(3) (2014) - 2013
- [j37]Kesheng Wu
, E. Wes Bethel, Ming Gu, David Leinweber, Oliver Rübel:
A big data approach to analyzing market volatility. Algorithmic Finance 2(3-4): 241-267 (2013) - [j36]Ming Gu, Lek-Heng Lim, Cinna Julie Wu:
ParNes: a rapidly convergent algorithm for accurate recovery of sparse and approximately sparse signals. Numer. Algorithms 64(2): 321-347 (2013) - [j35]Amal Khabou, James Demmel, Laura Grigori, Ming Gu:
LU Factorization with Panel Rank Revealing Pivoting and Its Communication Avoiding Version. SIAM J. Matrix Anal. Appl. 34(3): 1401-1429 (2013) - 2012
- [j34]Karthik Jayaraman Raghuram, Shivkumar Chandrasekaran, Joseph Moffitt, Ming Gu, Hrushikesh Narhar Mhaskar:
Higher order numerical discretizations for exterior and biharmonic type PDEs. J. Comput. Appl. Math. 236(18): 4762-4774 (2012) - [j33]Jianlin Xia, Yuanzhe Xi, Ming Gu:
A Superfast Structured Solver for Toeplitz Linear Systems via Randomized Sampling. SIAM J. Matrix Anal. Appl. 33(3): 837-858 (2012) - [j32]Shengguo Li, Ming Gu, Cinna Julie Wu, Jianlin Xia
:
New Efficient and Robust HSS Cholesky Factorization of SPD Matrices. SIAM J. Matrix Anal. Appl. 33(3): 886-904 (2012) - 2010
- [j31]Jianlin Xia
, Shivkumar Chandrasekaran, Ming Gu, Xiaoye S. Li:
Fast algorithms for hierarchically semiseparable matrices. Numer. Linear Algebra Appl. 17(6): 953-976 (2010) - [j30]Shiv Chandrasekaran, Patrick M. Dewilde, Ming Gu, N. Somasunderam:
On the Numerical Rank of the Off-Diagonal Blocks of Schur Complements of Discretized Elliptic PDEs. SIAM J. Matrix Anal. Appl. 31(5): 2261-2290 (2010) - [j29]Ming Gu, Xiaoye S. Li, Panayot S. Vassilevski:
Direction-Preserving and Schur-Monotonic Semiseparable Approximations of Symmetric Positive Definite Matrices. SIAM J. Matrix Anal. Appl. 31(5): 2650-2664 (2010) - [j28]Jianlin Xia, Ming Gu:
Robust Approximate Cholesky Factorization of Rank-Structured Symmetric Positive Definite Matrices. SIAM J. Matrix Anal. Appl. 31(5): 2899-2920 (2010) - 2009
- [j27]Jianlin Xia
, Shivkumar Chandrasekaran, Ming Gu, Xiaoye S. Li:
Superfast Multifrontal Method for Large Structured Linear Systems of Equations. SIAM J. Matrix Anal. Appl. 31(3): 1382-1411 (2009) - 2008
- [j26]Jiawang Nie, James Demmel, Ming Gu:
Global minimization of rational functions and the nearest GCDs. J. Glob. Optim. 40(4): 697-718 (2008) - 2007
- [j25]Shiv Chandrasekaran, Ming Gu, Xiaotian Sun, Jianlin Xia, Jiang Zhu:
A Superfast Algorithm for Toeplitz Systems of Linear Equations. SIAM J. Matrix Anal. Appl. 29(4): 1247-1266 (2007) - 2006
- [j24]Ming Gu, Michael L. Overton:
An Algorithm to Compute Sepλ. SIAM J. Matrix Anal. Appl. 28(2): 348-359 (2006) - [j23]Ming Gu, Emre Mengi
, Michael L. Overton, Jianlin Xia, Jiang Zhu:
Fast Methods for Estimating the Distance to Uncontrollability. SIAM J. Matrix Anal. Appl. 28(2): 477-502 (2006) - [j22]Shiv Chandrasekaran, Ming Gu, T. Pals:
A Fast ULV Decomposition Solver for Hierarchically Semiseparable Representations. SIAM J. Matrix Anal. Appl. 28(3): 603-622 (2006) - [j21]Shiv Chandrasekaran, Patrick M. Dewilde, Ming Gu, W. Lyons, T. Pals:
A Fast Solver for HSS Representations via Sparse Matrices. SIAM J. Matrix Anal. Appl. 29(1): 67-81 (2006) - 2005
- [j20]Shiv Chandrasekaran, Patrick M. Dewilde, Ming Gu, T. Pals, X. Sun, Alle-Jan van der Veen
, Daniel White
:
Some Fast Algorithms for Sequentially Semiseparable Representations. SIAM J. Matrix Anal. Appl. 27(2): 341-364 (2005) - 2004
- [j19]Shivkumar Chandrasekaran, Ming Gu:
A divide-and-conquer algorithm for the eigendecomposition of symmetric block-diagonal plus semiseparable matrices. Numerische Mathematik 96(4): 723-731 (2004) - 2003
- [j18]Shiv Chandrasekaran, Ming Gu:
Fast and Stable Algorithms for Banded Plus Semiseparable Systems of Linear Equations. SIAM J. Matrix Anal. Appl. 25(2): 373-384 (2003) - [j17]Ming Gu, Robert Guzzo, Xuebin Chi, Xing-Qin Cao:
A Stable Divide and Conquer Algorithm for the Unitary Eigenproblem. SIAM J. Matrix Anal. Appl. 25(2): 385-404 (2003) - 2001
- [j16]Shivkumar Chandrasekaran, Ming Gu, Ali H. Sayed, Keith E. Schubert:
The Degenerate Bounded Errors-in-Variables Model. SIAM J. Matrix Anal. Appl. 23(1): 138-166 (2001) - 2000
- [j15]Ming Gu:
Primal-Dual Interior-Point Methods for Semidefinite Programming in Finite Precision. SIAM J. Optim. 10(2): 462-502 (2000) - [j14]Ming Gu:
New Methods for Estimating the Distance to Uncontrollability. SIAM J. Matrix Anal. Appl. 21(3): 989-1003 (2000) - 1999
- [j13]Shiv Chandrasekaran, Gene H. Golub, Ming Gu, Ali H. Sayed:
An Efficient Algorithm for a Bounded Errors-in-Variables Model. SIAM J. Matrix Anal. Appl. 20(4): 839-859 (1999) - 1998
- [j12]Shivkumar Chandrasekaran, Gene H. Golub, Ming Gu, Ali H. Sayed:
Parameter Estimation in the Presence of Bounded Data Uncertainties. SIAM J. Matrix Anal. Appl. 19(1): 235-252 (1998) - [j11]Ming Gu:
Stable and Efficient Algorithms for Structured Systems of Linear Equations. SIAM J. Matrix Anal. Appl. 19(2): 279-306 (1998) - [j10]Ming Gu:
New Fast Algorithms for Structured Linear Least Squares Problems. SIAM J. Matrix Anal. Appl. 20(1): 244-269 (1998) - [j9]S. Chandrasekaran, Ming Gu, Ali H. Sayed:
A Stable and Efficient Algorithm for the Indefinite Linear Least-Squares Problem. SIAM J. Matrix Anal. Appl. 20(2): 354-362 (1998) - [j8]Ming Gu:
Backward Perturbation Bounds for Linear Least Squares Problems. SIAM J. Matrix Anal. Appl. 20(2): 363-372 (1998) - 1997
- [j7]Shivkumar Chandrasekaran, Gene H. Golub, Ming Gu, Ali H. Sayed:
Parameter estimation in the presence of bounded modeling errors. IEEE Signal Process. Lett. 4(7): 195-197 (1997) - 1996
- [j6]Ming Gu, Stanley C. Eisenstat:
Efficient Algorithms for Computing a Strong Rank-Revealing QR Factorization. SIAM J. Sci. Comput. 17(4): 848-869 (1996) - 1995
- [j5]Ming Gu:
Finding Well-Conditioned Similarities to Block-Diagonalize Nonsymmetric Matrices Is NP-Hard. J. Complex. 11(3): 377-391 (1995) - [j4]Ming Gu, Stanley C. Eisenstat:
A Divide-and-Conquer Algorithm for the Bidiagonal SVD. SIAM J. Matrix Anal. Appl. 16(1): 79-92 (1995) - [j3]Ming Gu, Stanley C. Eisenstat:
A Divide-and-Conquer Algorithm for the Symmetric Tridiagonal Eigenproblem. SIAM J. Matrix Anal. Appl. 16(1): 172-191 (1995) - [j2]Ming Gu, Stanley C. Eisenstat:
Downdating the Singular Value Decomposition. SIAM J. Matrix Anal. Appl. 16(3): 793-810 (1995) - 1994
- [j1]Ming Gu, Stanley C. Eisenstat:
A Stable and Efficient Algorithm for the Rank-One Modification of the Symmetric Eigenproblem. SIAM J. Matrix Anal. Appl. 15(4): 1266-1276 (1994)
Conference and Workshop Papers
- 2017
- [c12]Jianwei Xiao, Ming Gu, Julien Langou
:
Fast Parallel Randomized QR with Column Pivoting Algorithms for Reliable Low-Rank Matrix Approximations. HiPC 2017: 233-242 - [c11]David G. Anderson, Ming Gu:
An Efficient, Sparsity-Preserving, Online Algorithm for Low-Rank Approximation. ICML 2017: 156-165 - 2016
- [c10]Jianwei Xiao, Ming Gu:
Spectrum-Revealing Cholesky Factorization for Kernel Methods. ICDM 2016: 1293-1298 - 2015
- [c9]David G. Anderson, Simon Du, Michael W. Mahoney, Christopher Melgaard, Kunming Wu, Ming Gu:
Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nyström Method. AISTATS 2015 - 2013
- [c8]William Gu, Jaesik Choi
, Ming Gu, Horst D. Simon
, Kesheng Wu
:
Fast Change Point Detection for electricity market analysis. IEEE BigData 2013: 50-57 - 2011
- [c7]Shiv Chandrasekaran, K. R. Jayaraman, Ming Gu, Hrushikesh Narhar Mhaskar, J. Mofftt:
Higher Order Numerical Discretization Methods with Sobolev Norm Minimization. ICCS 2011: 206-215 - 2006
- [c6]James Demmel, Jack J. Dongarra, Beresford N. Parlett, William Kahan, Ming Gu, David Bindel
, Yozo Hida, Xiaoye S. Li, Osni Marques, E. Jason Riedy
, Christof Vömel, Julien Langou, Piotr Luszczek, Jakub Kurzak, Alfredo Buttari, Julie Langou, Stanimire Tomov
:
Prospectus for the Next LAPACK and ScaLAPACK Libraries. PARA 2006: 11-23 - 2002
- [c5]Shiv Chandrasekaran, Patrick M. Dewilde, Ming Gu, T. Pals, Alle-Jan van der Veen:
Fast Stable Solver for Sequentially Semi-separable Linear Systems of Equations. HiPC 2002: 545-554 - 2001
- [c4]Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon:
Bipartite Graph Partitioning and Data Clustering. CIKM 2001: 25-32 - [c3]Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Ming Gu, Horst D. Simon
:
A Min-max Cut Algorithm for Graph Partitioning and Data Clustering. ICDM 2001: 107-114 - [c2]Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon:
Spectral Relaxation for K-means Clustering. NIPS 2001: 1057-1064 - 1994
- [c1]Ming Gu, Martin Farach, Richard Beigel:
An Efficient Algorithm for Dynamic Text Indexing. SODA 1994: 697-704
Parts in Books or Collections
- 2000
- [p4]Ming Gu, Axel Ruhe, Richard B. Lehoucq, Danny C. Sorensen, Roland W. Freund, Gerard L. G. Sleijpen, Henk A. van der Vorst, Zhaojun Bai, Ruipeng Li:
Hermitian Eigenvalue Problems. Templates for the Solution of Algebraic Eigenvalue Problems 2000: 45-107 - [p3]Ming Gu, Axel Ruhe, Gerard L. G. Sleijpen, Henk A. van der Vorst, Zhaojun Bai, Ruipeng Li:
Generalized Hermitian Eigenvalue Problems. Templates for the Solution of Algebraic Eigenvalue Problems 2000: 109-133 - [p2]T. Chen, James Demmel, Ming Gu, Yousef Saad, Richard B. Lehoucq, Danny C. Sorensen, Kristyn J. Maschhoff, Zhaojun Bai, David Day, Roland W. Freund, Gerard L. G. Sleijpen, Henk A. van der Vorst, Ruipeng Li:
Non-Hermitian Eigenvalue Problems. Templates for the Solution of Algebraic Eigenvalue Problems 2000: 149-231 - 1995
- [p1]Zhaojun Bai, David Day, James Demmel, Jack J. Dongarra, Ming Gu, Axel Ruhe, Henk A. van der Vorst:
Templates for Linear Algebra Problems. Computer Science Today 1995: 115-140
Reference Works
- 2007
- [r1]Yozo Hida, James Demmel, Julien Langou, Jakub Kurzak, Ming Gu, Alfredo Buttari, Stanimire Tomov, Piotr Luszczek, Julie Langou, Osni Marques, Christof Vömel, Xiaoye S. Li, E. Jason Riedy
, Jack J. Dongarra, William Kahan, Beresford N. Parlett, David Bindel:
Prospectus for a Dense Linear Algebra Software Library. Handbook of Parallel Computing 2007
Informal and Other Publications
- 2020
- [i8]Jed A. Duersch, Ming Gu:
Randomized Projection for Rank-Revealing Matrix Factorizations and Low-Rank Approximations. CoRR abs/2008.04447 (2020) - 2018
- [i7]Yuehua Feng, Jianwei Xiao, Ming Gu:
Low-Rank Matrix Approximations with Flip-Flop Spectrum-Revealing QR Factorization. CoRR abs/1803.01982 (2018) - 2016
- [i6]David G. Anderson, Ming Gu:
An Efficient, Sparsity-Preserving, Online Algorithm for Data Approximation. CoRR abs/1602.05950 (2016) - 2015
- [i5]Christopher Melgaard, Ming Gu:
Gaussian Elimination with Randomized Complete Pivoting. CoRR abs/1511.08528 (2015) - 2014
- [i4]David G. Anderson, Ming Gu, Christopher Melgaard:
An Efficient Algorithm for Unweighted Spectral Graph Sparsification. CoRR abs/1410.4273 (2014) - 2012
- [i3]Amal Khabou, James Demmel, Laura Grigori, Ming Gu:
LU factorization with panel rank revealing pivoting and its communication avoiding version. CoRR abs/1208.2451 (2012) - 2009
- [i2]Ming Gu, Lek-Heng Lim, Cinna Julie Wu:
PARNES: A rapidly convergent algorithm for accurate recovery of sparse and approximately sparse signals. CoRR abs/0911.0492 (2009) - 2001
- [i1]Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon:
Bipartite graph partitioning and data clustering. CoRR cs.IR/0108018 (2001)
Coauthor Index
aka: Shiv Chandrasekaran
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