World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
40
Citations
6718
World Ranking
2055
National Ranking
871

Engineering and Technology

D-Index
40
Citations
6961
World Ranking
7281
National Ranking
1987

Research.com Recognitions

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

Overview

Mihai Anitescu is affiliated with Argonne National Laboratory in the United States. Their research spans multiple fields, primarily in Engineering and Computer Science, with a focus on subfields such as Electrical and Electronic Engineering, Control and Systems Engineering, Numerical Analysis, Artificial Intelligence, and Computational Theory and Mathematics.

Their main research topics include:

  • Advanced Optimization Algorithms Research
  • Power System Optimization and Stability
  • Optimal Power Flow Distribution
  • Probabilistic and Robust Engineering Design
  • Gaussian Processes and Bayesian Inference
  • Matrix Theory and Algorithms
  • Advanced Control Systems Optimization

Mihai Anitescu has published extensively, with frequent contributions appearing in venues such as arXiv (Cornell University), Electric Power Systems Research, IEEE Transactions on Power Systems, Mathematical Programming, and the SIAM Journal on Optimization.

Significant recent papers include:

  • "An adaptive stochastic sequential quadratic programming with differentiable exact augmented lagrangians", 2022, Mathematical Programming
  • "Exponential Decay of Sensitivity in Graph-Structured Nonlinear Programs", 2022, SIAM Journal on Optimization
  • "Inequality constrained stochastic nonlinear optimization via active-set sequential quadratic programming", 2023, Mathematical Programming
  • "Distributed Frequency Divider for Power System Bus Frequency Online Estimation Considering Virtual Inertia From DFIGs", 2022, IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • "Accelerating optimal power flow with GPUs: SIMD abstraction of nonlinear programs and condensed-space interior-point methods", 2024, Electric Power Systems Research

Frequent collaborators include Sungho Shin, Daniel Adrian Maldonado, François Pacaud, Sen Na, and Michel Schanen. These coauthors have worked extensively with Anitescu across multiple projects and publications.

Mihai Anitescu has been recognized as a SIAM Fellow in 2019 for contributions to the modeling, theory, and practice of optimization.

Best Publications

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

    M. Anitescu;F. A. Potra

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

    G. Aliberti;G. Palmiotti;M. Salvatores;T.K. Kim

  • 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

  • Time-stepping for three-dimensional rigid body dynamics

    Mihai Anitescu;Florian A. Potra;David E. Stewart

  • An iterative approach for cone complementarity problems for nonsmooth dynamics

    Mihai Anitescu;Alessandro Tasora

  • Optimization-based simulation of nonsmooth rigid multibody dynamics

    Mihai Anitescu

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

    A. Tasora;M. Anitescu

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

    Mihai Anitescu;Florian A. Potra

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

    Mihai Anitescu;Gary D. Hart

  • Real-Time Stochastic Optimization of Complex Energy Systems on High-Performance Computers

    Cosmin G. Petra;Olaf Schenk;Mihai Anitescu

  • Formulating Three-Dimensional Contact Dynamics Problems

    Mihai Anitescu;James F. Cremer;Florian A. Potra

  • On-line economic optimization of energy systems using weather forecast information.

    Victor M. Zavala;Emil M. Constantinescu;Theodore Krause;Mihai Anitescu

  • On Using the Elastic Mode in Nonlinear Programming Approaches to Mathematical Programs with Complementarity Constraints

    Mihai Anitescu

  • Theory and design of signal-adapted FIR paraunitary filter banks

    P. Moulin;M.K. Mihcak

  • Real-Time Nonlinear Optimization as a Generalized Equation

    Victor M. Zavala;Mihai Anitescu

  • The role of linear semi-infinite programming in signal-adapted QMF bank design

    P. Moulin;M. Anitescu;K.O. Kortanek;F.A. Potra

  • Degenerate Nonlinear Programming with a Quadratic Growth Condition

    Mihai Anitescu

  • Elastic-mode algorithms for mathematical programs with equilibrium constraints: global convergence and stationarity properties

    Mihai Anitescu;Paul Tseng;Stephen J. Wright

  • A Convex Complementarity Approach for Simulating Large Granular Flows

    Alessandro Tasora;Mihai Anitescu

  • STOCHASTIC APPROXIMATION OF SCORE FUNCTIONS FOR GAUSSIAN PROCESSES

    Michael L. Stein;Jie Chen;Mihai Anitescu

  • Large-scale parallel multi-body dynamics with frictional contact on the graphical processing unit:

    A Tasora;D Negrut;M Anitescu

  • Global Convergence of an Elastic Mode Approach for a Class of Mathematical Programs with Complementarity Constraints

    Mihai Anitescu

Frequent Co-Authors

Victor M. Zavala
Victor M. Zavala University of Wisconsin–Madison
Florian A. Potra
Florian A. Potra University of Maryland, Baltimore County
Michael L. Stein
Michael L. Stein Rutgers, The State University of New Jersey
Pierre Moulin
Pierre Moulin University of Illinois at Urbana-Champaign
Peter Zapol
Peter Zapol Argonne National Laboratory
John R. Birge
John R. Birge University of Chicago
William Layton
William Layton University of Pittsburgh
Paul Fischer
Paul Fischer University of Illinois at Urbana-Champaign
Kannan Ramchandran
Kannan Ramchandran University of California, Berkeley
Fred J. Hickernell
Fred J. Hickernell Illinois Institute of Technology

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