Yin Zhang's Recent Technical Reports
Department of Computational and Applied Mathematics
Rice University, Houston, Texas 77005
Tel.: 713-348-5744, Fax: 713-348-5318
- TR13-03 (pdf)
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Trace-Penalty Minimization for Large-scale Eigenspace Computation
- Zaiwen Wen, Chao Yang, Xin Liu and Yin Zhang
- TR12-13 (pdf)
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An Efficient Augmented Lagrangian Method with Applications to Total Variation
Minimization
- Chengbo Li, Wotao Yin, Hong Jiang, and Yin Zhang
- TR12-07 (pdf)
-
Limited Memory Block Krylov Subspace Optimization for Computing Dominant
Singular Value Decompositions
- Xin Liu, Zaiwen Wen and Yin Zhang
- TR11-06 (pdf)
-
Group Sparse Optimization by Alternating Direction Method
- Wei Deng, Wotao Yin, and Yin Zhang
- TR11-03 (pdf)
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An Alternating Direction Algorithm for Matrix Completion with Nonnegative
Factors
- Yangyang Xu, Wotao Yin, Zaiwen Wen, and Yin Zhang
- TR11-02 (pdf)
-
Augmented Lagrangian alternating direction method
for matrix separation based on low-rank factorization
- Yuan Shen, Zaiwen Wen and Yin Zhang
- TR11-01 (pdf)
-
A Compressive Sensing and Unmixing Scheme for Hyperspectral Data Processing
- Chengbo Li, Ting Sun, Kevin Kelly, and Yin Zhang
- TR10-24 (pdf)
-
Convergence of a Class of Stationary Iterative Methods for Saddle Point
Problems
- Y. Zhang
- TR10-07 (pdf)
-
Solving a Low-Rank Factorization Model for Matrix Completion by a Nonlinear
Successive Over-Relaxation Algorithm
- Zaiwen Wen, Wotao Yin, and Yin Zhang
- TR10-03 (pdf)
-
An Alternating Direction Algorithm for Nonnegative Matrix Factorization
- Y. Zhang
- TR09-37 (pdf)
- Alternating Direction Algorithms for L1-Problems in
Compressive Sensing
- J. Yang and Y. Zhang
- TR09-28 (pdf)
- User's Guide for LMaFit: Low-rank Matrix Fitting
- Y. Zhang
- TR09-17 (pdf)
- User's Guide for YALL1:
Your ALgorithms for L1 Optimization
- Y. Zhang
- TR08-12 (pdf)
-
An Efficient TVL1 Algorithm for Deblurring Multichannel
Images Corrupted by Impulsive Noise
- Junfeng Yang, Y. Zhang and Wotao Yin
- TR08-11 revised (pdf)
-
Theory of Compressive Sensing via L_1-Minimization:
A Non-RIP Analysis and Extensions
(Previous title: On Theory of Compressive Sensing via L_1-Minimization:
Simple Derivations and Extensions)
- Y. Zhang
- TR08-09 (pdf)
-
A Fast Algorithm for Edge-Preserving Variational
Multichannel Image Restoration
- Junfeng Yang, Wotao Yin, Y. Zhang and Yilun Wang
- Article on SIAG/OPT Vol. 19-1 (pdf)
-
Extracting Salient Features from Less Data via L1-Minimization.
- Wotao Yin and Y. Zhang
- TR07-10 (pdf)
-
A Fast Algorithm For Image Deblurring with Total
Variation Regularization.
- Yilun Wang, Wotao Yin, and Y. Zhang
- TR07-07 (pdf)
-
A Fixed-Point Continuation Method for L_1-Regularized
Minimization with Applications to Compressed Sensing
- Elaine T. Hale, Wotao Yin and Y. Zhang
- TR06-15 (pdf)
-
When is missing data recoverable?
- Y. Zhang
- TR06-11 (pdf)
-
Dose-Volume-Based IMRT Fluence Optimization: A Fast Least-Squares
Approach With Differentiability.
- Y. Zhang and M. Merritt
- TR06-06 (pdf)
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Case Studies For a First-Order Fobust Nonlinear Programming.
- Elaine Hale and Y. Zhang
- TR05-10 (pdf)
-
A Simple Proof for Recoverability of L1-Minimization (II):
the Nonnegativity Case.
- Y. Zhang
- TR05-09 (pdf)
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A Simple Proof for Recoverability of L1-Minimization:
Go Over or Under?
- Y. Zhang
- TR05-06 (pdf)
-
Solution-recovery in L1-norm for non-square linear systems:
deterministic conditions and open questions
- Y. Zhang
- TR04-13 (pdf)
(Revised version)
-
A General Robust-Optimization Formulation for
Nonlinear Programming
- Y. Zhang
- TR04-12 (pdf)
(Revised version)
-
Fluence Map Optimization
in IMRT Cancer Treatment Planning and
A Geometric Approach
- Y. Zhang and M. Merritt
- TR04-08 (ps)
-
An Interior-Point Gradient Method for Large-Scale Totally
Nonnegative Least Squares Problems.
- M. Merritt and Y. Zhang
- TR04-06 (ps)
-
Interior-Point Gradient Methods with Diagonal-Scalings for
Simple-Bound Constrained Optimization.
- Y. Zhang
- TR02-16 (ps)
-
A Successive Linear Programming Approach to IMRT
Optimization Problem.
- M. Merritt, Y. Zhang, H. Liu and R. Mohan
- TR02-13 (ps)
-
Variationally Constrained Numerical Solution of Electrical
Impedance Tomography.
- L. Borcea, G. Gray and Y. Zhang
- TR02-12 (ps)
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Computational Experience with Lenstra's Algorithm.
- L. Gao and Y. Zhang
- TR02-09 (ps)
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A Global Optimization Method for the Molecular
Replacement Problem in X-ray Crystallography.
- D.C. Jamrog, G.N. Phillips, Jr., R.A. Tapia and Y. Zhang
- TR01-15 (ps)
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On Numerical Solution of the Maximum Volume Ellipsoid Problem.
- Yin Zhang and Liyan Gao
- TR01-12 (ps)
-
Solving the Double Digestion Problem as a Mixed-Integer
Linear Program.
- Zhijun Wu and Yin Zhang
- TR01-11
-
A Computational Study of a Gradient-Based Log-Barrier
Algorithm for a Class of Large-Scale SDPs.
- Samuel Burer, Renato Monteiro and Yin Zhang
- Revised TR99-17 and 23 combined
- Solving a Class of Semidefinite Programs via
Nonlinear Programming.
- Samuel Burer, Renato D.C. Monteiro and Yin Zhang.
- TR00-34
-
Maximum Stable Set Formulations and Heuristics
Based on Continuous Optimization
- Samuel Burer, Renato Monteiro and Yin Zhang
- TR00-33 (Revised)
-
Rank-Two Relaxation Heuristics for Max-Cut
and Other Binary Quadratic Programs
- Samuel Burer, Renato Monteiro and Yin Zhang
- TR00-26
-
Simultaneous Structure Factor and Contrast Transfer Function
Parameter Determination in Transmission Electron Microscopy
- Olena Sinkevichi, Richard A. Tapia, Yin Zhang and Steven J. Ludtke
- TR00-22
-
SMV--An Object-Oriented Sparse Matrix-Vector Computation Library:
Programming Manual
- Zhijun Wu and Yin Zhang
- TR00-18
- The Effect of the Separation of Variables
on the Molecular Replacement Method
- Diane Jamrog, George Phillips, Richard Tapia and Yin Zhang
- TR99-27 (Revised)
- Interior-Point Algorithms for Semidefinite Programming
Based on A Nonlinear Programming Formulation
- TR99-23
- Solving Semidefinite Programs via
Nonlinear Programming. Part II: Interior point methods for a
subclass of SDPs
- Samuel Burer, Renato D.C. Monteiro and Yin Zhang.
- TR99-20 (Revised)
- Selective Search for Global Optimization of
Zero or Small Residual Least-Squares Problems:
A Numerical Study
- Leticia Velazquez, George Phillips, Richard Tapia and Yin Zhang.
- TR99-17
- Solving Semidefinite Programs via
Nonlinear Programming. Part I: Transformations and Derivatives
- Samuel Burer, Renato D.C. Monteiro and Yin Zhang.
- TR99-16
- Properties of A Class of Preconditioners for
Weighted Least Squares Problems.
- Venansius Baryamureeba, Trond Steihaug and Yin Zhang.
- TR99-15
- The Sphere of Convergence of Newton's Method on
Two Equivalent Systems from Nonlinear Programming.
- Cristina Villalobos, Richard Tapia and Yin Zhang.
- TR99-14 (Revised)
- A Fast Newton's Algorithm for Entropy Maximization
in Phase Determination.
- Zhijun Wu, George Phillips, Richard Tapia and Yin Zhang.
- TR99-13
- The Bayesian Statistical Approach to the Phase Problem
in Protein X-ray Crystallography.
- Zhijun Wu, George Phillips, Richard Tapia and Yin Zhang.
- TR99-12 (Revised)
- On Convergence of Minimization methods:
Attraction, Repulsion and Selection.
- Yin Zhang, Richard Tapia and Leticia Velazquez.
- TR98-15
- An interior-point algorithm for the
maximum-volume ellipsoid problem.
- Yin Zhang.
- TR98-02 (Revised)
- Local Behavior of the Newton Method
on Two Equivalent Systems from Linear Programming.
- Cristina Villalobos, Richard Tapia and Yin Zhang.
zhang@caam.rice.edu