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- Jong-Shi Pang

Mathematics

USA

2023

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Mathematics
D-index
75
Citations
34,200
264
World Ranking
128
National Ranking
71

Computer Science
D-index
70
Citations
27,309
229
World Ranking
1139
National Ranking
659

2023 - Research.com Mathematics in United States Leader Award

2019 - INFORMS John von Neumann Theory Prize

2009 - SIAM Fellow For advances in variational inequalities and complementarity problems in optimization.

2003 - Dantzig Prize, by the Society for Industrial and Applied Mathematics (SIAM) and the Mathematical Optimization Society (MOS)

- Mathematical optimization
- Statistics
- Mathematical analysis

Jong-Shi Pang mainly investigates Mathematical optimization, Complementarity theory, Variational inequality, Mixed complementarity problem and Iterative method. He has included themes like Convex function, Convex optimization, Pricing strategies, Newton's method and Oligopoly in his Mathematical optimization study. His work on Linear complementarity problem expands to the thematically related Complementarity theory.

His Variational inequality research is multidisciplinary, incorporating perspectives in Penalty method, Mathematical economics, Nash equilibrium and Local convergence. His biological study focuses on Nonlinear complementarity problem. His research integrates issues of Monotone polygon and Calculus in his study of Applied mathematics.

- Finite-Dimensional Variational Inequalities and Complementarity Problems (3154 citations)
- The Linear Complementarity Problem (2541 citations)
- Finite-dimensional variational inequality and nonlinear complementarity problems: a survey of theory, algorithms and applications (1531 citations)

Mathematical optimization, Complementarity theory, Mixed complementarity problem, Variational inequality and Applied mathematics are his primary areas of study. His Mathematical optimization course of study focuses on Distributed algorithm and Cognitive radio. His Nonlinear complementarity problem study, which is part of a larger body of work in Complementarity theory, is frequently linked to Mathematical analysis, Numerical analysis and Nonlinear system, bridging the gap between disciplines.

His Mathematical analysis research includes elements of Rigid body and Pure mathematics. The various areas that Jong-Shi Pang examines in his Variational inequality study include Nonlinear programming, Newton's method, Monotone polygon and Solution set. His Applied mathematics research includes themes of Function, Piecewise linear function, Linear system and Calculus.

- Mathematical optimization (56.64%)
- Complementarity theory (27.62%)
- Mixed complementarity problem (19.58%)

- Mathematical optimization (56.64%)
- Optimization problem (10.84%)
- Applied mathematics (15.73%)

His scientific interests lie mostly in Mathematical optimization, Optimization problem, Applied mathematics, Quadratic programming and Quadratic equation. His research in Mathematical optimization intersects with topics in Distributed algorithm and Regular polygon, Convex optimization. He interconnects Cognitive radio and Variational inequality in the investigation of issues within Distributed algorithm.

The Applied mathematics study combines topics in areas such as Function, Data point, Linear model and Piecewise. In general Quadratic programming, his work in Quadratically constrained quadratic program is often linked to Complementarity theory and Linear complementarity problem linking many areas of study. His work on Branch and cut as part of general Linear programming research is frequently linked to Mixed complementarity problem, bridging the gap between disciplines.

- Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems (223 citations)
- A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing (216 citations)
- Real and Complex Monotone Communication Games (111 citations)

- Mathematical optimization
- Statistics
- Mathematical analysis

His primary areas of investigation include Mathematical optimization, Nash equilibrium, Distributed algorithm, Optimization problem and Block. Jong-Shi Pang specializes in Mathematical optimization, namely Feasible region. His work in Nash equilibrium covers topics such as Equilibrium selection which are related to areas like Stochastic programming, Stochastic game and Coherent risk measure.

Jong-Shi Pang has researched Distributed algorithm in several fields, including Variational inequality and Convex optimization. His Optimization problem study combines topics from a wide range of disciplines, such as Convex function, Multi-agent system, Decomposition, Heuristics and Systems design. His study in Cognitive radio is interdisciplinary in nature, drawing from both Probabilistic logic and Game theory.

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.

Finite-Dimensional Variational Inequalities and Complementarity Problems

Francisco Facchinei;Jong-Shi Pang.

**(2013)**

5121 Citations

The Linear Complementarity Problem

Richard W. Cottle;Jong-Shi Pang;Richard E. Stone.

**(1992)**

4302 Citations

Finite-dimensional variational inequality and nonlinear complementarity problems: a survey of theory, algorithms and applications

P. T. Harker;J.-S. Pang.

Mathematical Programming **(1990)**

2523 Citations

Mathematical Programs with Equilibrium Constraints

Zhi-Quan Luo;Jong-Shi Pang;Daniel Ralph.

**(1996)**

2379 Citations

Engineering and Economic Applications of Complementarity Problems

M. C. Ferris;J. S. Pang.

Siam Review **(1997)**

1435 Citations

Strategic gaming analysis for electric power systems: an MPEC approach

B.F. Hobbs;C.B. Metzler;J.-S. Pang.

IEEE Transactions on Power Systems **(2000)**

1006 Citations

Oligopolistic competition in power networks: a conjectured supply function approach

C.J. Day;B.F. Hobbs;Jong-Shi Pang.

IEEE Transactions on Power Systems **(2002)**

648 Citations

Error bounds in mathematical programming

Jong-Shi Pang.

Mathematical Programming **(1997)**

574 Citations

Newton's method for B -differentiable equations

J. S. Pang.

Mathematics of Operations Research **(1990)**

523 Citations

Quasi-variational inequalities, generalized Nash equilibria, and multi-leader-follower games

Jong-Shi Pang;Masao Fukushima.

Computational Management Science **(2005)**

495 Citations

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