Mihai Anitescu

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 63

Top Venues

CoRR

SIAM J. Optim.

Math. Program.

SIAM/ASA J. Uncertain. Quantification

Publications

Sen Na, Mihai Anitescu, Mladen Kolar
A Fast Temporal Decomposition Procedure for Long-Horizon Nonlinear Dynamic Programming. Math. Oper. Res. 49 (2) (2024)
Hongli Zhao, Tyler E. Maltba, Daniel Adrian Maldonado, Emil M. Constantinescu, Mihai Anitescu
Data-Driven Estimation of Failure Probabilities in Correlated Structure-Preserving Stochastic Power System Models. CoRR (2024)
Ian Dobson, Daniel Adrian Maldonado, Mihai Anitescu
The statistical spread of transmission outages on a fast protection time scale based on utility data. CoRR (2024)
François Pacaud, Sungho Shin, Michel Schanen, Daniel Adrian Maldonado, Mihai Anitescu
Accelerating Condensed Interior-Point Methods on SIMD/GPU Architectures. J. Optim. Theory Appl. 202 (1) (2024)
Anindya Bhaduri, Nesar Ramachandra, Sandipp Krishnan Ravi, Lele Luan, Piyush Pandita, Prasanna Balaprakash, Mihai Anitescu, Changjie Sun, Liping Wang
Efficient Mapping Between Void Shapes and Stress Fields Using Deep Convolutional Neural Networks With Sparse Data. J. Comput. Inf. Sci. Eng. 24 (4) (2024)
Mohammad S. Ramadan, Mihai Anitescu
Extended Kalman Filter-Koopman Operator for Tractable Stochastic Optimal Control. IEEE Control. Syst. Lett. 8 (2024)
Mohammad S. Ramadan, Mihai Anitescu
Extended Kalman filter - Koopman operator for tractable stochastic optimal control. CoRR (2024)
Ahmed Attia, Daniel Adrian Maldonado, Emil M. Constantinescu, Mihai Anitescu
Centralized calibration of power system dynamic models using variational data assimilation. CoRR (2023)
Lele Luan, Nesar Ramachandra, Sandipp Krishnan Ravi, Anindya Bhaduri, Piyush Pandita, Prasanna Balaprakash, Mihai Anitescu, Changjie Sun, Liping Wang
Application of probabilistic modeling and automated machine learning framework for high-dimensional stress field. CoRR (2023)
Yian Chen, Mihai Anitescu
Scalable Physics-Based Maximum Likelihood Estimation Using Hierarchical Matrices. SIAM/ASA J. Uncertain. Quantification 11 (2) (2023)
Sen Na, Mihai Anitescu, Mladen Kolar
An adaptive stochastic sequential quadratic programming with differentiable exact augmented lagrangians. Math. Program. 199 (1) (2023)
Albert Lam, Mihai Anitescu, Anirudh Subramanyam
Network Cascade Vulnerability using Constrained Bayesian Optimization. CoRR (2023)
Sungho Shin, François Pacaud, Mihai Anitescu
Accelerating Optimal Power Flow with GPUs: SIMD Abstraction of Nonlinear Programs and Condensed-Space Interior-Point Methods. CoRR (2023)
Sen Na, Mihai Anitescu
Superconvergence of Online Optimization for Model Predictive Control. IEEE Trans. Autom. Control. 68 (3) (2023)
David L. Cole, Sungho Shin, François Pacaud, Victor M. Zavala, Mihai Anitescu
. ACC (2023)
Paul G. Beckman, Christopher Geoga, Michael L. Stein, Mihai Anitescu
Scalable computations for nonstationary Gaussian processes. Stat. Comput. 33 (4) (2023)
Somayeh Yarahmadi, Daniel Adrian Maldonado, Lamine Mili, Junbo Zhao, Mihai Anitescu
Voltage-Dependent Electromechanical Wave Propagation Modeling for Dynamic Stability Analysis in Power Systems. CoRR (2023)
Sen Na, Mihai Anitescu, Mladen Kolar
Inequality constrained stochastic nonlinear optimization via active-set sequential quadratic programming. Math. Program. 202 (1) (2023)
Zehao Niu, Mihai Anitescu, Jie Chen
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning. ICLR (2023)
Sungho Shin, François Pacaud, Emil Contantinescu, Mihai Anitescu
. ACC (2023)
Zehao Niu, Mihai Anitescu, Jie Chen
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning. CoRR (2023)
Yian Chen, Mihai Anitescu
Scalable Physics-based Maximum Likelihood Estimation using Hierarchical Matrices. CoRR (2023)
Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. SIAM J. Control. Optim. 61 (3) (2023)
François Pacaud, Michel Schanen, Daniel Adrian Maldonado, Alexis Montoison, Valentin Churavy, Julian Samaroo, Mihai Anitescu
Batched Second-Order Adjoint Sensitivity for Reduced Space Methods. CoRR (2022)
Sungho Shin, Sen Na, Mihai Anitescu
Near-Optimal Performance of Stochastic Predictive Control. CoRR (2022)
Bendong Tan, Junbo Zhao, Nan Duan, Daniel Adrian Maldonado, Yingchen Zhang, Hongming Zhang, Mihai Anitescu
Distributed Frequency Divider for Power System Bus Frequency Online Estimation Considering Virtual Inertia From DFIGs. IEEE J. Emerg. Sel. Topics Circuits Syst. 12 (1) (2022)
Sungho Shin, Mihai Anitescu, Victor M. Zavala
Exponential Decay of Sensitivity in Graph-Structured Nonlinear Programs. SIAM J. Optim. 32 (2) (2022)
Sheng Lei, Daniel A. Maldonado, Emil M. Constantinescu, Junbo Zhao, Somayeh Yarahmadi, Lamine Mili, Mihai Anitescu
A Novel Continuum Approximation to Power System Electromechanical Dynamics. ISGT (2022)
Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. CoRR (2022)
Vishwas Rao, Anirudh Subramanyam, Michel Schanen, Youngdae Kim, Ignas Satkauskas, Mihai Anitescu
Frequency Recovery in Power Grids using High-Performance Computing. ICPP Workshops (2022)
Vishwas Rao, Charlotte A. L. Haley, Mihai Anitescu
LaplaceInterpolation.jl: A Julia package for fast interpolation on a grid. J. Open Source Softw. 7 (69) (2022)
Sen Na, Sungho Shin, Mihai Anitescu, Victor M. Zavala
On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control. IEEE Trans. Autom. Control. 67 (11) (2022)
François Pacaud, Michel Schanen, Daniel Adrian Maldonado, Alexis Montoison, Valentin Churavy, Julian Samaroo, Mihai Anitescu
Batched Second-Order Adjoint Sensitivity for Reduced Space Methods. PPSC (2022)
Youngdae Kim, François Pacaud, Kibaek Kim, Mihai Anitescu
Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition. CoRR (2021)
Jacob Roth, David A. Barajas-Solano, Panos Stinis, Jonathan Weare, Mihai Anitescu
A Kinetic Monte Carlo Approach for Simulating Cascading Transmission Line Failure. Multiscale Model. Simul. 19 (1) (2021)
Jing Yu, Mihai Anitescu
Multidimensional sum-up rounding for integer programming in optimal experimental design. Math. Program. 185 (1-2) (2021)
Johannes J. Brust, Mihai Anitescu
Convergence Analysis of Fixed Point Chance Constrained Optimal Power Flow Problems. CoRR (2021)
Daniel Adrian Maldonado, Michel Schanen, François Pacaud, Mihai Anitescu
Domain Decomposition Preconditioners for Unstructured Network Problems in Parallel Vector Architectures. ICPP Workshops (2021)
Aydin Buluç, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary Myers, Jelani Nelson, Juan M. Restrepo, C. Seshadhri, Draguna L. Vrabie, Brendt Wohlberg, Stephen J. Wright, Chao Yang, Peter Zwart
Randomized Algorithms for Scientific Computing (RASC). CoRR (2021)
Vishwas Rao, Mihai Anitescu
Efficient Computation of Extreme Excursion Probabilities for Dynamical Systems through Rice's Formula. SIAM/ASA J. Uncertain. Quantification 9 (2) (2021)
Amanda Lenzi, Julie Bessac, Mihai Anitescu
Power grid frequency prediction using spatiotemporal modeling. Stat. Anal. Data Min. 14 (6) (2021)
Sen Na, Mihai Anitescu, Mladen Kolar
Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming. CoRR (2021)
Sen Na, Mihai Anitescu, Mladen Kolar
An Adaptive Stochastic Sequential Quadratic Programming with Differentiable Exact Augmented Lagrangians. CoRR (2021)
Sungho Shin, Mihai Anitescu, Victor M. Zavala
Overlapping Schwarz Decomposition for Constrained Quadratic Programs. CDC (2020)
Sen Na, Sungho Shin, Mihai Anitescu, Victor M. Zavala
Overlapping Schwarz Decomposition for Nonlinear Optimal Control. CoRR (2020)
Sen Na, Mihai Anitescu
Superconvergence of Online Optimization for Model Predictive Control. CoRR (2020)
Sungho Shin, Victor M. Zavala, Mihai Anitescu
Decentralized Schemes With Overlap for Solving Graph-Structured Optimization Problems. IEEE Trans. Control. Netw. Syst. 7 (3) (2020)
Vishwas Rao, Mihai Anitescu
Efficient computation of extreme excursion probabilities for dynamical systems. CoRR (2020)
Sen Na, Mihai Anitescu
Exponential Decay in the Sensitivity Analysis of Nonlinear Dynamic Programming. SIAM J. Optim. 30 (2) (2020)
Vishwas Rao, Romit Maulik, Emil M. Constantinescu, Mihai Anitescu
A Machine-Learning-Based Importance Sampling Method to Compute Rare Event Probabilities. ICCS (6) (2020)
Sen Na, Mihai Anitescu
Exponential Decay in the Sensitivity Analysis of Nonlinear Dynamic Programming. CoRR (2019)
Xialiang Dou, Mihai Anitescu
Distributionally robust optimization with correlated data from vector autoregressive processes. Oper. Res. Lett. 47 (4) (2019)
Cosmin G. Petra, Naiyuan Chiang, Mihai Anitescu
A Structured Quasi-Newton Algorithm for Optimizing with Incomplete Hessian Information. SIAM J. Optim. 29 (2) (2019)
Michel Schanen, Daniel Adrian Maldonado, Mihai Anitescu
A Framework for Distributed Approximation of Moments with Higher-Order Derivatives Through Automatic Differentiation. ICCS (5) (2019)
Jacob Roth, David A. Barajas-Solano, Panagiotis Stinis, Jonathan Weare, Mihai Anitescu
A Kinetic Monte Carlo Approach for Simulating Cascading Transmission Line Failure. CoRR (2019)
Xialiang Dou, Mihai Anitescu
Distributionally Robust Optimization with Correlated Data from Vector Autoregressive Processes. CoRR (2019)
Wanting Xu, Mihai Anitescu
Exponentially Accurate Temporal Decomposition for Long-Horizon Linear-Quadratic Dynamic Optimization. SIAM J. Optim. 28 (3) (2018)
Victor M. Zavala, Kibaek Kim, Mihai Anitescu, John R. Birge
A Stochastic Electricity Market Clearing Formulation with Consistent Pricing Properties. Oper. Res. 65 (3) (2017)
Charlotte A. L. Haley, Mihai Anitescu
Optimal Bandwidth for Multitaper Spectrum Estimation. IEEE Signal Process. Lett. 24 (11) (2017)
Mihai Anitescu, Victor M. Zavala
MPC as a DVI: Implications on sampling rates and accuracy. CDC (2017)
Hong Zhang, Shrirang Abhyankar, Emil M. Constantinescu, Mihai Anitescu
Discrete Adjoint Sensitivity Analysis of Hybrid Dynamical Systems With Switching. IEEE Trans. Circuits Syst. I Regul. Pap. (5) (2017)
Wanting Xu, Mihai Anitescu
A Limited-Memory Multiple Shooting Method for Weakly Constrained Variational Data Assimilation. SIAM J. Numer. Anal. 54 (6) (2016)
Michel Schanen, Oana Marin, Hong Zhang, Mihai Anitescu
Asynchronous Two-level Checkpointing Scheme for Large-scale Adjoints in the Spectral-element Solver Nek5000. ICCS (2016)
Xiaoyan Zeng, Mihai Anitescu
Sequential Monte Carlo sampling in hidden Markov models of nonlinear dynamical systems. Appl. Math. Comput. 233 (2014)
Victor M. Zavala, Mihai Anitescu
Scalable Nonlinear Programming via Exact Differentiable Penalty Functions and Trust-Region Newton Methods. SIAM J. Optim. 24 (1) (2014)
Jie Chen, Tom L. H. Li, Mihai Anitescu
A parallel linear solver for multilevel Toeplitz systems with possibly several right-hand sides. Parallel Comput. 40 (8) (2014)
Jie Chen, Lei Wang, Mihai Anitescu
A Fast Summation Tree Code for Matérn Kernel. SIAM J. Sci. Comput. 36 (1) (2014)
Oleg Roderick, Mihai Anitescu, Yulia Peet
Proper orthogonal decompositions in multifidelity uncertainty quantification of complex simulation models. Int. J. Comput. Math. 91 (4) (2014)
Cosmin G. Petra, Olaf Schenk, Mihai Anitescu
Real-Time Stochastic Optimization of Complex Energy Systems on High-Performance Computers. Comput. Sci. Eng. 16 (5) (2014)
Mihai Anitescu, Xiaoyan Zeng, Emil M. Constantinescu
A Low-Memory Approach for Best-State Estimation of Hidden Markov Models with Model Error. SIAM J. Numer. Anal. 52 (1) (2014)
Miles Lubin, J. A. Julian Hall, Cosmin G. Petra, Mihai Anitescu
Parallel distributed-memory simplex for large-scale stochastic LP problems. Comput. Optim. Appl. 55 (3) (2013)
Mihai Anitescu, Jie Chen, Lei Wang
A Matrix-free Approach for Solving the Parametric Gaussian Process Maximum Likelihood Problem. SIAM J. Sci. Comput. 34 (1) (2012)
Cosmin G. Petra, Mihai Anitescu
A preconditioning technique for Schur complement systems arising in stochastic optimization. Comput. Optim. Appl. 52 (2) (2012)
Michael L. Stein, Jie Chen, Mihai Anitescu
Difference Filter Preconditioning for Large Covariance Matrices. SIAM J. Matrix Anal. Appl. 33 (1) (2012)
Mihai Anitescu, Goran Lesaja
Special issue in honour of Professor Florian A. Potra's 60th Birthday. Optim. Methods Softw. 27 (4-5) (2012)
Miles Lubin, Cosmin G. Petra, Mihai Anitescu
The parallel solution of dense saddle-point linear systems arising in stochastic programming. Optim. Methods Softw. 27 (4-5) (2012)
Miles Lubin, Cosmin G. Petra, Mihai Anitescu, Victor M. Zavala
Scalable stochastic optimization of complex energy systems. SC (2011)
Victor M. Zavala, Mihai Anitescu
New insights into the dynamic stability of wholesale electricity markets. CACSD (2011)
Jie Chen, Mihai Anitescu, Yousef Saad
Computing f(A)b via Least Squares Polynomial Approximations. SIAM J. Sci. Comput. 33 (1) (2011)
Victor M. Zavala, Mihai Anitescu
Achieving higher frequencies in large-scale nonlinear model predictive control. CDC (2010)
Mihai Anitescu, Alessandro Tasora
An iterative approach for cone complementarity problems for nonsmooth dynamics. Comput. Optim. Appl. 47 (2) (2010)
Mihai Anitescu, Robert Fourer
Preface. Math. Program. 125 (2) (2010)
David E. Stewart, Mihai Anitescu
Optimal control of systems with discontinuous differential equations. Numerische Mathematik 114 (4) (2010)
Mihai Anitescu, Sanghyun Park
A linear assignment approach for the least-squares protein morphing problem. Math. Program. 125 (1) (2010)
Victor M. Zavala, Mihai Anitescu
Real-Time Nonlinear Optimization as a Generalized Equation. SIAM J. Control. Optim. 48 (8) (2010)
Mihai Anitescu, Dan Negrut, Peter Zapol, Anter El-Azab
A note on the regularity of reduced models obtained by nonlocal quasi-continuum-like approaches. Math. Program. 118 (2) (2009)
Mihai Anitescu
Spectral Finite-Element Methods for Parametric Constrained Optimization Problems. SIAM J. Numer. Anal. 47 (3) (2009)
Cosmin G. Petra, Bogdan I. Gavrea, Mihai Anitescu, Florian A. Potra
A computational study of the use of an optimization-based method for simulating large multibody systems. Optim. Methods Softw. 24 (6) (2009)
Bogdan I. Gavrea, Mihai Anitescu, Florian A. Potra
Convergence of a Class of Semi-Implicit Time-Stepping Schemes for Nonsmooth Rigid Multibody Dynamics. SIAM J. Optim. 19 (2) (2008)
Mihai Anitescu, William J. Layton
Sensitivities in Large Eddy Simulation and Improved Estimates of Turbulent Flow Functionals. SIAM J. Sci. Comput. 29 (4) (2007)
Mihai Anitescu, Paul Tseng, Stephen J. Wright
Elastic-mode algorithms for mathematical programs with equilibrium constraints: global convergence and stationarity properties. Math. Program. 110 (2) (2007)
Mihai Anitescu
Optimization-based simulation of nonsmooth rigid multibody dynamics. Math. Program. 105 (1) (2006)
Mihai Anitescu
Global Convergence of an Elastic Mode Approach for a Class of Mathematical Programs with Complementarity Constraints. SIAM J. Optim. 16 (1) (2005)
Mihai Anitescu
On Using the Elastic Mode in Nonlinear Programming Approaches to Mathematical Programs with Complementarity Constraints. SIAM J. Optim. 15 (4) (2005)
Mihai Anitescu, Gary D. Hart
A fixed-point iteration approach for multibody dynamics with contact and small friction. Math. Program. 101 (1) (2004)
Jufeng Peng, Mihai Anitescu, Srinivas Akella
Optimal Control of Multiple Robot Systems with Friction using MPCC. ICRA (2004)
Gary D. Hart, Mihai Anitescu
A hard-constraint time-stepping approach for rigid multibody dynamics with joints, contact, and friction. Richard Tapia Celebration of Diversity in Computing Conference (2003)
Mihai Anitescu
A fixed time-step approach for multibody dynamics with contact and friction. IROS (2003)
Mihai Anitescu
A Superlinearly Convergent Sequential Quadratically Constrained Quadratic Programming Algorithm for Degenerate Nonlinear Programming. SIAM J. Optim. 12 (4) (2002)
Mihai Anitescu
On the rate of convergence of sequential quadratic programming with nondifferentiable exact penalty function in the presence of constraint degeneracy. Math. Program. 92 (2) (2002)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mihai Anitescu