Yin Zhang
Affiliations:- Rice University, Department of Computational and Applied Mathematic, Houston, TX, USA
- University of Maryland, Department of Mathematics and Statistics, USA
According to our database1,
Yin Zhang
authored at least 42 papers
between 1992 and 2017.
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Bibliography
2017
Accelerating Convergence by Augmented Rayleigh-Ritz Projections For Large-Scale Eigenpair Computation.
SIAM J. Matrix Anal. Appl., 2017
Subspace Methods with Local Refinements for Eigenvalue Computation Using Low-Rank Tensor-Train Format.
J. Sci. Comput., 2017
An alternating direction and projection algorithm for structure-enforced matrix factorization.
Comput. Optim. Appl., 2017
2016
J. Sci. Comput., 2016
2015
An Efficient Gauss-Newton Algorithm for Symmetric Low-Rank Product Matrix Approximations.
SIAM J. Optim., 2015
2013
IEEE Trans. Broadcast., 2013
Limited Memory Block Krylov Subspace Optimization for Computing Dominant Singular Value Decompositions.
SIAM J. Sci. Comput., 2013
An efficient augmented Lagrangian method with applications to total variation minimization.
Comput. Optim. Appl., 2013
2012
IEEE Trans. Image Process., 2012
Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm.
Math. Program. Comput., 2012
2011
SIAM J. Sci. Comput., 2011
CoRR, 2011
Proceedings of the 2011 IEEE Wireless Communications and Networking Conference, 2011
2010
A Fast Algorithm for Sparse Reconstruction Based on Shrinkage, Subspace Optimization, and Continuation.
SIAM J. Sci. Comput., 2010
A Fast Alternating Direction Method for TVL1-L2 Signal Reconstruction From Partial Fourier Data.
IEEE J. Sel. Top. Signal Process., 2010
Proceedings of the Visual Communications and Image Processing 2010, 2010
2009
An Efficient TVL1 Algorithm for Deblurring Multichannel Images Corrupted by Impulsive Noise.
SIAM J. Sci. Comput., 2009
SIAM J. Imaging Sci., 2009
2008
Fixed-Point Continuation for l<sub>1</sub>-Minimization: Methodology and Convergence.
SIAM J. Optim., 2008
SIAM J. Imaging Sci., 2008
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008
2005
A global optimization method for the molecular replacement problem in X-ray crystallography.
Math. Program., 2005
Proceedings of the Richard Tapia Celebration of Diversity in Computing Conference 2005, 2005
2004
Math. Program., 2004
2003
A computational study of a gradient-based log-barrier algorithm for a class of large-scale SDPs.
Math. Program., 2003
2002
SIAM J. Optim., 2002
Math. Program., 2002
Math. Program., 2002
Interior-Point Algorithms for Semidefinite Programming Based on a Nonlinear Formulation.
Comput. Optim. Appl., 2002
2001
SIAM Rev., 2001
Selective Search for Global Optimization of Zero or Small Residual Least-Squares Problems: A Numerical Study.
Comput. Optim. Appl., 2001
1998
A unified analysis for a class of long-step primal-dual path-following interior-point algorithms for semidefinite programming.
Math. Program., 1998
1996
The Mehrotra Predictor-Corrector Interior-Point Method As a Perturbed Composite Newton Method.
SIAM J. Optim., 1996
On the convergence rate of Newton interior-point methods in the absence of strict complementarity.
Comput. Optim. Appl., 1996
1995
Math. Program., 1995
1994
SIAM Rev., 1994
1993
On the Superlinear Convergence of Interior-Point Algorithms for a General Class of Problems.
SIAM J. Optim., 1993
A Superlinearly Convergent Polynomial Primal-Dual Interior-Point Algorithm for Linear Programming.
SIAM J. Optim., 1993
A quadratically convergent O(qudra root(n)*L)-iteration algorithm for linear programming.
Math. Program., 1993
1992
On the Superlinear and Quadratic Convergence of Primal-Dual Interior Point Linear Programming Algorithms.
SIAM J. Optim., 1992
SIAM J. Optim., 1992