What is he best known for?
The fields of study he is best known for:
- 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.
His most cited work include:
- 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)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Mathematical optimization (56.64%)
- Complementarity theory (27.62%)
- Mixed complementarity problem (19.58%)
What were the highlights of his more recent work (between 2012-2021)?
- Mathematical optimization (56.64%)
- Optimization problem (10.84%)
- Applied mathematics (15.73%)
In recent papers he was focusing on the following fields of study:
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.
Between 2012 and 2021, his most popular works were:
- 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)
In his most recent research, the most cited papers focused on:
- 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.
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