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)
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.
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.
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.
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.
The Linear Complementarity Problem
Richard W. Cottle;Jong-Shi Pang;Richard E. Stone.
Finite-dimensional variational inequality and nonlinear complementarity problems: a survey of theory, algorithms and applications
P. T. Harker;J.-S. Pang.
Mathematical Programming (1990)
Mathematical Programs with Equilibrium Constraints
Zhi-Quan Luo;Jong-Shi Pang;Daniel Ralph.
Engineering and Economic Applications of Complementarity Problems
M. C. Ferris;J. S. Pang.
Siam Review (1997)
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)
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)
Error bounds in mathematical programming
Mathematical Programming (1997)
Newton's method for B -differentiable equations
J. S. Pang.
Mathematics of Operations Research (1990)
Nonsmooth Equations: Motivation and Algorithms
Jong-Shi Pang;Liqun Qi.
Siam Journal on Optimization (1993)
Profile was last updated on December 6th, 2021.
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