Mihai Anitescu
Orcid: 0000-0002-0787-5462
According to our database1,
Mihai Anitescu
authored at least 98 papers
between 1996 and 2024.
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Bibliography
2024
J. Optim. Theory Appl., July, 2024
Efficient Mapping Between Void Shapes and Stress Fields Using Deep Convolutional Neural Networks With Sparse Data.
J. Comput. Inf. Sci. Eng., April, 2024
Parallel interior-point solver for block-structured nonlinear programs on SIMD/GPU architectures.
Optim. Methods Softw., 2024
A Fast Temporal Decomposition Procedure for Long-Horizon Nonlinear Dynamic Programming.
Math. Oper. Res., 2024
IEEE Control. Syst. Lett., 2024
CoRR, 2024
CoRR, 2024
The statistical spread of transmission outages on a fast protection time scale based on utility data.
CoRR, 2024
Data-Driven Estimation of Failure Probabilities in Correlated Structure-Preserving Stochastic Power System Models.
CoRR, 2024
Scalable Multi-Period AC Optimal Power Flow Utilizing GPUs with High Memory Capacities.
Proceedings of the Open Source Modelling and Simulation of Energy Systems, 2024
2023
Inequality constrained stochastic nonlinear optimization via active-set sequential quadratic programming.
Math. Program., November, 2023
Stat. Comput., August, 2023
SIAM J. Control. Optim., June, 2023
SIAM/ASA J. Uncertain. Quantification, June, 2023
An adaptive stochastic sequential quadratic programming with differentiable exact augmented lagrangians.
Math. Program., May, 2023
IEEE Trans. Autom. Control., March, 2023
Voltage-Dependent Electromechanical Wave Propagation Modeling for Dynamic Stability Analysis in Power Systems.
CoRR, 2023
Centralized calibration of power system dynamic models using variational data assimilation.
CoRR, 2023
Accelerating Optimal Power Flow with GPUs: SIMD Abstraction of Nonlinear Programs and Condensed-Space Interior-Point Methods.
CoRR, 2023
Application of probabilistic modeling and automated machine learning framework for high-dimensional stress field.
CoRR, 2023
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Constrained Policy Optimization for Stochastic Optimal Control under Nonstationary Uncertainties<sup>*</sup>.
Proceedings of the American Control Conference, 2023
Exploiting GPU/SIMD Architectures for Solving Linear-Quadratic MPC Problems<sup>*</sup>.
Proceedings of the American Control Conference, 2023
2022
On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control.
IEEE Trans. Autom. Control., 2022
SIAM J. Optim., 2022
J. Open Source Softw., 2022
Distributed Frequency Divider for Power System Bus Frequency Online Estimation Considering Virtual Inertia From DFIGs.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2022
Proceedings of the 2022 SIAM Conference on Parallel Processing for Scientific Computing, 2022
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022
Proceedings of the Workshop Proceedings of the 51st International Conference on Parallel Processing, 2022
2021
Stat. Anal. Data Min., 2021
Multidimensional sum-up rounding for integer programming in optimal experimental design.
Math. Program., 2021
Multiscale Model. Simul., 2021
Efficient Computation of Extreme Excursion Probabilities for Dynamical Systems through Rice's Formula.
SIAM/ASA J. Uncertain. Quantification, 2021
Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition.
CoRR, 2021
CoRR, 2021
Domain Decomposition Preconditioners for Unstructured Network Problems in Parallel Vector Architectures.
Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021
2020
Decentralized Schemes With Overlap for Solving Graph-Structured Optimization Problems.
IEEE Trans. Control. Netw. Syst., 2020
SIAM J. Optim., 2020
CoRR, 2020
A Machine-Learning-Based Importance Sampling Method to Compute Rare Event Probabilities.
Proceedings of the Computational Science - ICCS 2020, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
A Structured Quasi-Newton Algorithm for Optimizing with Incomplete Hessian Information.
SIAM J. Optim., 2019
Distributionally robust optimization with correlated data from vector autoregressive processes.
Oper. Res. Lett., 2019
A Framework for Distributed Approximation of Moments with Higher-Order Derivatives Through Automatic Differentiation.
Proceedings of the Computational Science - ICCS 2019, 2019
2018
Exponentially Accurate Temporal Decomposition for Long-Horizon Linear-Quadratic Dynamic Optimization.
SIAM J. Optim., 2018
2017
IEEE Trans. Circuits Syst. I Regul. Pap., 2017
IEEE Signal Process. Lett., 2017
A Stochastic Electricity Market Clearing Formulation with Consistent Pricing Properties.
Oper. Res., 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
A Limited-Memory Multiple Shooting Method for Weakly Constrained Variational Data Assimilation.
SIAM J. Numer. Anal., 2016
Asynchronous Two-level Checkpointing Scheme for Large-scale Adjoints in the Spectral-element Solver Nek5000.
Proceedings of the International Conference on Computational Science 2016, 2016
2014
A Low-Memory Approach for Best-State Estimation of Hidden Markov Models with Model Error.
SIAM J. Numer. Anal., 2014
Scalable Nonlinear Programming via Exact Differentiable Penalty Functions and Trust-Region Newton Methods.
SIAM J. Optim., 2014
A parallel linear solver for multilevel Toeplitz systems with possibly several right-hand sides.
Parallel Comput., 2014
Proper orthogonal decompositions in multifidelity uncertainty quantification of complex simulation models.
Int. J. Comput. Math., 2014
Real-Time Stochastic Optimization of Complex Energy Systems on High-Performance Computers.
Comput. Sci. Eng., 2014
Sequential Monte Carlo sampling in hidden Markov models of nonlinear dynamical systems.
Appl. Math. Comput., 2014
2013
Comput. Optim. Appl., 2013
2012
A Matrix-free Approach for Solving the Parametric Gaussian Process Maximum Likelihood Problem.
SIAM J. Sci. Comput., 2012
SIAM J. Matrix Anal. Appl., 2012
The parallel solution of dense saddle-point linear systems arising in stochastic programming.
Optim. Methods Softw., 2012
Optim. Methods Softw., 2012
A preconditioning technique for Schur complement systems arising in stochastic optimization.
Comput. Optim. Appl., 2012
2011
SIAM J. Sci. Comput., 2011
Proceedings of the Conference on High Performance Computing Networking, 2011
Proceedings of the 2011 IEEE International Symposium on Computer-Aided Control System Design, 2011
2010
SIAM J. Control. Optim., 2010
Numerische Mathematik, 2010
Math. Program., 2010
Comput. Optim. Appl., 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
2009
SIAM J. Numer. Anal., 2009
A computational study of the use of an optimization-based method for simulating large multibody systems.
Optim. Methods Softw., 2009
A note on the regularity of reduced models obtained by nonlocal quasi-continuum-like approaches.
Math. Program., 2009
2008
Convergence of a Class of Semi-Implicit Time-Stepping Schemes for Nonsmooth Rigid Multibody Dynamics.
SIAM J. Optim., 2008
2007
Sensitivities in Large Eddy Simulation and Improved Estimates of Turbulent Flow Functionals.
SIAM J. Sci. Comput., 2007
Elastic-mode algorithms for mathematical programs with equilibrium constraints: global convergence and stationarity properties.
Math. Program., 2007
2006
Math. Program., 2006
2005
On Using the Elastic Mode in Nonlinear Programming Approaches to Mathematical Programs with Complementarity Constraints.
SIAM J. Optim., 2005
Global Convergence of an Elastic Mode Approach for a Class of Mathematical Programs with Complementarity Constraints.
SIAM J. Optim., 2005
2004
A fixed-point iteration approach for multibody dynamics with contact and small friction.
Math. Program., 2004
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004
2003
A hard-constraint time-stepping approach for rigid multibody dynamics with joints, contact, and friction.
Proceedings of the Richard Tapia Celebration of Diversity in Computing Conference 2003, 2003
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003
2002
A Superlinearly Convergent Sequential Quadratically Constrained Quadratic Programming Algorithm for Degenerate Nonlinear Programming.
SIAM J. Optim., 2002
On the rate of convergence of sequential quadratic programming with nondifferentiable exact penalty function in the presence of constraint degeneracy.
Math. Program., 2002
2001
IEEE Trans. Signal Process., 2001
2000
Theory of rate-distortion-optimal, constrained filterbanks-application to IIR and FIR biorthogonal designs.
IEEE Trans. Signal Process., 2000
SIAM J. Optim., 2000
1997
IEEE Trans. Signal Process., 1997
1996
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996