What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Mathematical analysis
- Algebra
Jasbir S. Arora mostly deals with Mathematical optimization, Sensitivity, Nonlinear system, Optimization problem and Finite element method.
His Mathematical optimization study combines topics in areas such as Function, Basis and Optimal design.
His studies deal with areas such as Structure, Truss, Applied mathematics, Algorithm and Constraint as well as Sensitivity.
His Optimization problem study combines topics from a wide range of disciplines, such as Stochastic programming and Stochastic optimization.
His Engineering design process research includes elements of MATLAB and Control theory.
Jasbir S. Arora has researched Field in several fields, including Machine learning and Operations research.
His most cited work include:
- Survey of multi-objective optimization methods for engineering (2935 citations)
- Introduction to Optimum Design (1808 citations)
- The weighted sum method for multi-objective optimization: new insights (735 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Mathematical optimization, Optimization problem, Sensitivity, Control theory and Nonlinear system.
Jasbir S. Arora combines subjects such as Algorithm, Nonlinear programming and Optimal design with his study of Mathematical optimization.
Jasbir S. Arora interconnects Function and Engineering design process in the investigation of issues within Algorithm.
Jasbir S. Arora has included themes like Multi-objective optimization and Numerical analysis in his Optimization problem study.
Jasbir S. Arora focuses mostly in the field of Sensitivity, narrowing it down to topics relating to Applied mathematics and, in certain cases, Calculus.
His biological study deals with issues like Kinematics, which deal with fields such as Joint.
He most often published in these fields:
- Mathematical optimization (42.07%)
- Optimization problem (20.06%)
- Sensitivity (17.80%)
What were the highlights of his more recent work (between 2011-2021)?
- Mathematical optimization (42.07%)
- Optimization problem (20.06%)
- Control theory (14.89%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Mathematical optimization, Optimization problem, Control theory, Nonlinear programming and Kinematics.
His Mathematical optimization study integrates concerns from other disciplines, such as Algorithm and Numerical analysis.
The various areas that he examines in his Optimization problem study include MATLAB, Feasible region and Table.
In his study, Gait is strongly linked to Simulation, which falls under the umbrella field of Control theory.
His Nonlinear programming research incorporates themes from Test functions for optimization, Stochastic programming, Karush–Kuhn–Tucker conditions, Vector optimization and Continuous optimization.
His Function research is multidisciplinary, incorporating elements of Engineering design process, Partial derivative and Notation, Arithmetic.
Between 2011 and 2021, his most popular works were:
- Introduction to Optimum Design (Third Edition) (27 citations)
- Hybrid predictive dynamics: a new approach to simulate human motion (24 citations)
- Predictive simulation of human walking transitions using an optimization formulation (20 citations)
In his most recent research, the most cited papers focused on:
- Mathematical optimization
- Mathematical analysis
- Algebra
His main research concerns Mathematical optimization, Torque, Simulation, Optimization problem and Control theory.
His Mathematical optimization research is multidisciplinary, incorporating perspectives in Algorithm, Simple and Numerical analysis.
His biological study spans a wide range of topics, including Joint, Motion, Orientation and Impulse.
His Motion research includes themes of Field, Machine learning, Fraction and Measure.
His Optimization problem research is multidisciplinary, incorporating elements of Function, Multi-objective optimization and Design engineer.
The various areas that Jasbir S. Arora examines in his Multi-objective optimization study include Design of experiments, Turbine, iSight, Structural engineering and Optimal design.
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