Ming Gu

发表

Bipartite graph partitioning and data clustering

Chris H. Q. Ding, Hongyuan Zha, Xiaofeng He, 2001, CIKM '01.

Fast structured LU factorization for nonsymmetric matrices

Lizhi Cheng, Ming Gu, Shengguo Li, 2014, Numerische Mathematik.

Gaussian Elimination with Randomized Complete Pivoting pdf

Ming Gu, Christopher Melgaard, M. Gu, 2015, ArXiv.

The Degenerate Bounded Errors-in-Variables Model

Ali H. Sayed, Shivkumar Chandrasekaran, Ming Gu, 2001, SIAM J. Matrix Anal. Appl..

New Methods for Estimating the Distance to Uncontrollability

Ming Gu, M. Gu, 2000, SIAM J. Matrix Anal. Appl..

Fast and Stable Algorithms for Banded Plus Semiseparable Systems of Linear Equations

Shivkumar Chandrasekaran, Ming Gu, 2003, SIAM J. Matrix Anal. Appl..

Fast Stable Solver for Sequentially Semi-separable Linear Systems of Equations

Alle-Jan van der Veen, Shivkumar Chandrasekaran, Patrick Dewilde, 2002, HiPC.

Primal-Dual Interior-Point Methods for Semidefinite Programming in Finite Precision

Ming Gu, M. Gu, 1999, SIAM J. Optim..

ParNes: a rapidly convergent algorithm for accurate recovery of sparse and approximately sparse signals

Ming Gu, Lek-Heng Lim, Cinna Julie Wu, 2009, Numerical Algorithms.

A divide-and-conquer algorithm for the eigendecomposition of symmetric block-diagonal plus semiseparable matrices

Shivkumar Chandrasekaran, Ming Gu, S. Chandrasekaran, 2004, Numerische Mathematik.

On the Numerical Rank of the Off-Diagonal Blocks of Schur Complements of Discretized Elliptic PDEs

Shivkumar Chandrasekaran, Patrick Dewilde, Ming Gu, 2010, SIAM J. Matrix Anal. Appl..

An Improved DQDS Algorithm

Beresford N. Parlett, Ming Gu, Shengguo Li, 2012, SIAM J. Sci. Comput..

A Divide-and-Conquer Algorithm for the Symmetric Tridiagonal Eigenproblem

Stanley C. Eisenstat, Ming Gu, S. Eisenstat, 1995, SIAM J. Matrix Anal. Appl..

An Efficient Algorithm for Unweighted Spectral Graph Sparsification pdf

Ming Gu, Christopher Melgaard, David G. Anderson, 2014, ArXiv.

A Fast ULV Decomposition Solver for Hierarchically Semiseparable Representations

Shivkumar Chandrasekaran, Ming Gu, T. Pals, 2006, SIAM J. Matrix Anal. Appl..

LU Factorization with Panel Rank Revealing Pivoting and Its Communication Avoiding Version pdf

James Demmel, Laura Grigori, Ming Gu, 2012, SIAM J. Matrix Anal. Appl..

Some Fast Algorithms for Sequentially Semiseparable Representations

Alle-Jan van der Veen, Shivkumar Chandrasekaran, Patrick Dewilde, 2005, SIAM J. Matrix Anal. Appl..

A Superfast Structured Solver for Toeplitz Linear Systems via Randomized Sampling

Jianlin Xia, Yuanzhe Xi, Ming Gu, 2012, SIAM J. Matrix Anal. Appl..

Buiding (High-Rise Building 1)

Kenny C. S Kwok, Shengchun Liu, Akihisa Kawaguchi, 2001 .

Fast algorithms for hierarchically semiseparable matrices

Jianlin Xia, Xiaoye S. Li, Shivkumar Chandrasekaran, 2010, Numer. Linear Algebra Appl..

Backward Perturbation Bounds for Linear Least Squares Problems

Ming Gu, M. Gu, 1999, SIAM J. Matrix Anal. Appl..

Superfast Multifrontal Method for Large Structured Linear Systems of Equations

Jianlin Xia, Xiaoye S. Li, Shivkumar Chandrasekaran, 2009, SIAM J. Matrix Anal. Appl..

An Accelerated Divide-and-Conquer Algorithm for the Bidiagonal SVD Problem

Xuebin Chi, Meng Sun, Lizhi Cheng, 2014, SIAM J. Matrix Anal. Appl..

Fast Change Point Detection for electricity market analysis

Kesheng Wu, Jaesik Choi, Horst D. Simon, 2013, 2013 IEEE International Conference on Big Data.

Higher Order Numerical Discretization Methods with Sobolev Norm Minimization

Hrushikesh Narhar Mhaskar, Shivkumar Chandrasekaran, Ming Gu, 2011, ICCS.

A Fast Solver for HSS Representations via Sparse Matrices

Shivkumar Chandrasekaran, Patrick Dewilde, Ming Gu, 2006, SIAM J. Matrix Anal. Appl..

Efficient Algorithms for Computing a Strong Rank-Revealing QR Factorization

Ming Gu, Stanley C Eisenstat, S. Eisenstat, 1996, SIAM J. Sci. Comput..

A Superfast Algorithm for Toeplitz Systems of Linear Equations

Shivkumar Chandrasekaran, Ming Gu, X. Sun, 2007, SIAM J. Matrix Anal. Appl..

New Fast Algorithms for Structured Linear Least Squares Problems

Ming Gu, M. Gu, 1998, SIAM J. Matrix Anal. Appl..

Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nyström Method

Michael W. Mahoney, Ming Gu, Christopher Melgaard, 2015, AISTATS.

A Divide-and-Conquer Algorithm for the Bidiagonal SVD

Stanley C. Eisenstat, Ming Gu, S. Eisenstat, 1995, SIAM J. Matrix Anal. Appl..

Finding Well-Conditioned Similarities to Block-Diagonalize Nonsymmetric Matrices Is NP-Hard

Ming Gu, 1995, J. Complex..

Robust Approximate Cholesky Factorization of Rank-Structured Symmetric Positive Definite Matrices

Jianlin Xia, Ming Gu, M. Gu, 2010, SIAM J. Matrix Anal. Appl..

Direction-Preserving and Schur-Monotonic Semiseparable Approximations of Symmetric Positive Definite Matrices

Xiaoye S. Li, Panayot S. Vassilevski, Ming Gu, 2009, SIAM J. Matrix Anal. Appl..

Spectral Relaxation for K-means Clustering

Chris H. Q. Ding, Hongyuan Zha, Xiaofeng He, 2001, NIPS.

Prospectus for a Dense Linear Algebra Software Library

James Demmel, William Kahan, Julien Langou, 2007, Handbook of Parallel Computing.

Global minimization of rational functions and the nearest GCDs

James Demmel, Jiawang Nie, Ming Gu, 2006, J. Glob. Optim..

Prospectus for the Next LAPACK and ScaLAPACK Libraries

James Demmel, William Kahan, Julien Langou, 2006, PARA.

A min-max cut algorithm for graph partitioning and data clustering

Chris H. Q. Ding, Hongyuan Zha, Xiaofeng He, 2001, Proceedings 2001 IEEE International Conference on Data Mining.

An Efficient, Sparsity-Preserving, Online Algorithm for Low-Rank Approximation

Ming Gu, David G. Anderson, M. Gu, 2016, ICML.

Templates for Linear Algebra Problems

James Demmel, Zhaojun Bai, Jack J. Dongarra, 1995, Computer Science Today.

An Efficient, Sparsity-Preserving, Online Algorithm for Data Approximation pdf

Ming Gu, David G. Anderson, 2016, ArXiv.

New Efficient and Robust HSS Cholesky Factorization of SPD Matrices

Jianlin Xia, Ming Gu, Shengguo Li, 2012, SIAM J. Matrix Anal. Appl..

An improved divide-and-conquer algorithm for the banded matrices with narrow bandwidths

Xiangke Liao, Lizhi Cheng, Ming Gu, 2016, Comput. Math. Appl..

Higher order numerical discretizations for exterior and biharmonic type PDEs

Hrushikesh Narhar Mhaskar, Shivkumar Chandrasekaran, Ming Gu, 2012, J. Comput. Appl. Math..

Downdating the Singular Value Decomposition

Stanley C. Eisenstat, Ming Gu, S. Eisenstat, 1995, SIAM J. Matrix Anal. Appl..

Communication Avoiding Rank Revealing QR Factorization with Column Pivoting

James Demmel, Laura Grigori, Hua Xiang, 2015, SIAM J. Matrix Anal. Appl..

Best-fit parameter estimation for a bounded errors-in-variables model

Gene H. Golub, Ali H. Sayed, Shivkumar Chandrasekaran, 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

MSNFD : A Higher Order Finite Difference Method for Solving Elliptic PDEs on scattered points (An Extended version of our paper submitted to ICCS 2011)

Hrushikesh Narhar Mhaskar, Ming Gu, K. R. Jayaraman, 2011 .

Fast algorithms for spectral collocation with non-periodic boundary conditions

Shivkumar Chandrasekaran, Ming Gu, Hector D. Ceniceros, 2005 .

A Fast QR Algorithm for Companion Matrices

Jianlin Xia, Ming Gu, S. Chandrasekaran, 2007 .

Stable and Efficient Algorithms for Structured Systems of Linear Equations

Ming Gu, M. Gu, 1998, SIAM J. Matrix Anal. Appl..

Randomized QR with Column Pivoting

Jed A. Duersch, Ming Gu, M. Gu, 2015, SIAM J. Sci. Comput..

A fast and stable solver for recursively semi-separable systems of linear equations

Shivkumar Chandrasekaran, Ming Gu, S. Chandrasekaran, 2001 .

Flip-flop spectrum-revealing QR factorization and its applications to singular value decomposition

Ming Gu, Yuehua Feng, M. Gu, 2018, ETNA - Electronic Transactions on Numerical Analysis.

Structured Primal-dual Interior-point Methods for Banded Semidefinite Programming

Michael L. Overton, Ming Gu, Zhiming Deng, 2010 .

Studies in numerical linear algebra

Ming Gu, M. Gu, 1993 .