D-Index & Metrics Best Publications

D-Index & Metrics

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 30 Citations 4,295 108 World Ranking 2158 National Ranking 902

Research.com Recognitions

Awards & Achievements

2019 - SIAM Fellow For contributions to the modeling, theory, and practice of optimization.

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Mathematical analysis
  • Algorithm

The scientist’s investigation covers issues in Mathematical optimization, Applied mathematics, Complementarity theory, Iterative method and Complementarity. His Duality study, which is part of a larger body of work in Mathematical optimization, is frequently linked to Coding gain, bridging the gap between disciplines. Mihai Anitescu combines subjects such as Quadratic programming, Gaussian process, Covariance matrix, Control variates and Surrogate model with his study of Applied mathematics.

His Complementarity theory research incorporates themes from Differential inclusion, Mixed complementarity problem, Numerical analysis and Rigid body dynamics. His Iterative method study integrates concerns from other disciplines, such as Granular material, Computation, SIMD and Many-body problem. His Complementarity research focuses on subjects like Classical mechanics, which are linked to Differential equation and Contact geometry.

His most cited work include:

  • Formulating Dynamic Multi-Rigid-Body Contact Problems with Friction as Solvable Linear Complementarity Problems (391 citations)
  • A Computational Framework for Uncertainty Quantification and Stochastic Optimization in Unit Commitment With Wind Power Generation (215 citations)
  • Nuclear data sensitivity, uncertainty and target accuracy assessment for future nuclear systems (180 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Mathematical optimization, Applied mathematics, Algorithm, Gaussian process and Multibody system. His Mathematical optimization research includes themes of Nonlinear programming and Complementarity theory. He has included themes like Quadratic programming, Sequential quadratic programming and Augmented Lagrangian method in his Nonlinear programming study.

His Complementarity theory study frequently links to other fields, such as Mixed complementarity problem. As a part of the same scientific study, Mihai Anitescu usually deals with the Applied mathematics, concentrating on Rate of convergence and frequently concerns with Optimization problem. The various areas that Mihai Anitescu examines in his Multibody system study include Linear complementarity problem, Numerical analysis and Rigid body dynamics.

He most often published in these fields:

  • Mathematical optimization (40.74%)
  • Applied mathematics (24.87%)
  • Algorithm (14.29%)

What were the highlights of his more recent work (between 2018-2021)?

  • Applied mathematics (24.87%)
  • Algorithm (14.29%)
  • Mathematical optimization (40.74%)

In recent papers he was focusing on the following fields of study:

Mihai Anitescu focuses on Applied mathematics, Algorithm, Mathematical optimization, Nonlinear system and Rate of convergence. His studies in Applied mathematics integrate themes in fields like Robust optimization, Saddle point, Stochastic optimization, Autoregressive model and Space. His Algorithm research includes elements of Event, Initialization, Gaussian process and Importance sampling.

By researching both Mathematical optimization and Dynamic load testing, he produces research that crosses academic boundaries. His studies deal with areas such as Exponential decay, Uniform boundedness and Sensitivity as well as Nonlinear system. His research in Rate of convergence intersects with topics in Perturbation, Optimal control, Linear algebra, Exponential growth and Optimization problem.

Between 2018 and 2021, his most popular works were:

  • Scalable Gaussian Process Computations Using Hierarchical Matrices (12 citations)
  • Scalable Gaussian Process Computations Using Hierarchical Matrices (12 citations)
  • Graph Convolutional Neural Networks for Optimal Load Shedding under Line Contingency (10 citations)

In his most recent research, the most cited papers focused on:

  • Quantum mechanics
  • Mathematical analysis
  • Algorithm

Applied mathematics, Nonlinear system, Rate of convergence, Algorithm and Gaussian process are his primary areas of study. His biological study spans a wide range of topics, including Saddle point, Stochastic optimization, Autoregressive model, Space and Robustness. As part of the same scientific family, he usually focuses on Nonlinear system, concentrating on Perturbation and intersecting with Uniform boundedness, Local convergence, Superconvergence and Tracking error.

His Rate of convergence study combines topics from a wide range of disciplines, such as Quadratic programming and Control theory, Controllability, Control theory. The study incorporates disciplines such as Nonlinear programming and Electric power system in addition to Algorithm. His research integrates issues of Computation and Numerical linear algebra in his study of Gaussian process.

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.

Best Publications

Formulating Dynamic Multi-Rigid-Body Contact Problems with Friction as Solvable Linear Complementarity Problems

M. Anitescu;F. A. Potra.
Nonlinear Dynamics (1997)

597 Citations

A Computational Framework for Uncertainty Quantification and Stochastic Optimization in Unit Commitment With Wind Power Generation

E M Constantinescu;V M Zavala;M Rocklin;Sangmin Lee.
IEEE Transactions on Power Systems (2011)

297 Citations

Nuclear data sensitivity, uncertainty and target accuracy assessment for future nuclear systems

G. Aliberti;G. Palmiotti;M. Salvatores;T.K. Kim.
Annals of Nuclear Energy (2006)

295 Citations

Time-stepping for three-dimensional rigid body dynamics

Mihai Anitescu;Florian A. Potra;David E. Stewart.
Computer Methods in Applied Mechanics and Engineering (1999)

213 Citations

An iterative approach for cone complementarity problems for nonsmooth dynamics

Mihai Anitescu;Alessandro Tasora.
Computational Optimization and Applications (2010)

170 Citations

A time-stepping method for stiff multibody dynamics with contact and friction

Mihai Anitescu;Florian A. Potra.
International Journal for Numerical Methods in Engineering (2002)

162 Citations

A constraint‐stabilized time‐stepping approach for rigid multibody dynamics with joints, contact and friction

Mihai Anitescu;Gary D. Hart.
International Journal for Numerical Methods in Engineering (2004)

151 Citations

A matrix-free cone complementarity approach for solving large-scale, nonsmooth, rigid body dynamics

A. Tasora;M. Anitescu.
Computer Methods in Applied Mechanics and Engineering (2011)

145 Citations

Optimization-based simulation of nonsmooth rigid multibody dynamics

Mihai Anitescu.
Mathematical Programming (2006)

144 Citations

Formulating Three-Dimensional Contact Dynamics Problems

Mihai Anitescu;James F. Cremer;Florian A. Potra.
Mechanics of Structures and Machines (1996)

126 Citations

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Victor M. Zavala

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Florian A. Potra

University of Maryland, Baltimore County

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William Layton

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