Shuzhong Zhang mainly investigates Mathematical optimization, Quadratic programming, Semidefinite programming, Combinatorics and Quadratically constrained quadratic program. His research integrates issues of Computational complexity theory and Convex optimization in his study of Mathematical optimization. His research in Quadratic programming intersects with topics in Quadratic equation, Quadratic function, Approximation algorithm, Relaxation and Trust region.
In his study, which falls under the umbrella issue of Relaxation, Beamforming and MIMO is strongly linked to Optimization problem. His study in Semidefinite programming is interdisciplinary in nature, drawing from both Second-order cone programming, Nonlinear programming, Time complexity, Applied mathematics and Linear programming. His Combinatorics research integrates issues from Positive-definite matrix, Bounded function and Convex set.
His main research concerns Mathematical optimization, Applied mathematics, Semidefinite programming, Convex optimization and Combinatorics. His research investigates the connection between Mathematical optimization and topics such as Algorithm that intersect with problems in Numerical analysis. His study on Applied mathematics also encompasses disciplines like
His studies deal with areas such as Path following, Second-order cone programming, Quadratic programming, Semidefinite embedding and Bounded function as well as Semidefinite programming. Shuzhong Zhang has included themes like Quadratic equation, Quadratic function, Approximation algorithm and Relaxation in his Quadratic programming study. The study incorporates disciplines such as Rate of convergence, Convex function and Convexity in addition to Convex optimization.
Shuzhong Zhang mostly deals with Applied mathematics, Ambiguity, Convex optimization, Convex function and Mathematical optimization. His work deals with themes such as Hessian matrix, Tensor, Order, Regularization and Optimization problem, which intersect with Applied mathematics. His research integrates issues of Acceleration, Product and Duality in his study of Tensor.
His research on Convex optimization concerns the broader Regular polygon. His Convex function research includes elements of Combinatorics, Strongly monotone, Convexity, Variational inequality and Upper and lower bounds. His works in Linear programming and Interior point method are all subjects of inquiry into Mathematical optimization.
Shuzhong Zhang focuses on Convex function, Convex optimization, Mathematical optimization, Applied mathematics and Regular polygon. The Convex function study combines topics in areas such as Upper and lower bounds, Lipschitz continuity and Combinatorics. His Combinatorics study integrates concerns from other disciplines, such as Strongly monotone, Saddle point and Type.
Shuzhong Zhang has researched Mathematical optimization in several fields, including Computational complexity theory, Rate of convergence, Stochastic approximation and Convexity. His biological study spans a wide range of topics, including Function and Global iteration. His Regular polygon research is multidisciplinary, relying on both Regularization, Hessian matrix and Unconstrained optimization.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Semidefinite Relaxation of Quadratic Optimization Problems
Zhi-quan Luo;Wing-kin Ma;Anthony Man-Cho So;Yinyu Ye.
IEEE Signal Processing Magazine (2010)
Dynamic Spectrum Management: Complexity and Duality
Zhi-Quan Luo;Shuzhong Zhang.
IEEE Journal of Selected Topics in Signal Processing (2008)
On cones of nonnegative quadratic functions
Jos F. Sturm;Shuzhong Zhang.
Mathematics of Operations Research (2003)
Internet and Network Economics
Christos Papadimitriou;Shuzhong Zhang.
New Results on Quadratic Minimization
Yinyu Ye;Yinyu Ye;Yinyu Ye;Shuzhong Zhang.
Siam Journal on Optimization (2003)
Approximation Bounds for Quadratic Optimization with Homogeneous Quadratic Constraints
Zhi-Quan Luo;Nicholas D. Sidiropoulos;Paul Tseng;Shuzhong Zhang.
Siam Journal on Optimization (2007)
Complex Quadratic Optimization and Semidefinite Programming
Shuzhong Zhang;Yongwei Huang.
Siam Journal on Optimization (2006)
New results on Hermitian matrix rank-one decomposition
Wenbao Ai;Yongwei Huang;Shuzhong Zhang.
Mathematical Programming (2011)
Quadratic maximization and semidefinite relaxation
Mathematical Programming (2000)
Complex Matrix Decomposition and Quadratic Programming
Yongwei Huang;Shuzhong Zhang.
Mathematics of Operations Research (2007)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: