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2020 – today
- 2024
[j63]Mohammad S. Ramadan
, Mihai Anitescu:
Extended Kalman Filter-Koopman Operator for Tractable Stochastic Optimal Control. IEEE Control. Syst. Lett. 8: 1643-1648 (2024)- [j62]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) - [j61]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): 184-203 (2024) - [j60]Sen Na, Mihai Anitescu, Mladen Kolar:
A Fast Temporal Decomposition Procedure for Long-Horizon Nonlinear Dynamic Programming. Math. Oper. Res. 49(2): 1012-1044 (2024) - [j59]François Pacaud, Michel Schanen, Sungho Shin, Daniel Adrian Maldonado, Mihai Anitescu:
Parallel interior-point solver for block-structured nonlinear programs on SIMD/GPU architectures. Optim. Methods Softw. 39(4): 874-897 (2024) - [c20]Sungho Shin, Vishwas Rao, Michel Schanen, Daniel Adrian Maldonado, Mihai Anitescu:
Scalable Multi-Period AC Optimal Power Flow Utilizing GPUs with High Memory Capacities. OSMSES 2024: 1-6 - [i25]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 abs/2401.02555 (2024) - [i24]Mohammad S. Ramadan, Mihai Anitescu:
Extended Kalman filter - Koopman operator for tractable stochastic optimal control. CoRR abs/2402.18554 (2024) - [i23]Ian Dobson, Daniel Adrian Maldonado, Mihai Anitescu:
The statistical spread of transmission outages on a fast protection time scale based on utility data. CoRR abs/2407.15059 (2024) - [i22]Mohammad S. Ramadan, Evan Toler, Mihai Anitescu:
Data-conforming data-driven control: avoiding premature generalizations beyond data. CoRR abs/2409.11549 (2024) - 2023
- [j58]Yian Chen, Mihai Anitescu:
Scalable Physics-Based Maximum Likelihood Estimation Using Hierarchical Matrices. SIAM/ASA J. Uncertain. Quantification 11(2): 682-725 (2023) - [j57]Sen Na, Mihai Anitescu, Mladen Kolar:
An adaptive stochastic sequential quadratic programming with differentiable exact augmented lagrangians. Math. Program. 199(1): 721-791 (2023) - [j56]Sen Na, Mihai Anitescu, Mladen Kolar:
Inequality constrained stochastic nonlinear optimization via active-set sequential quadratic programming. Math. Program. 202(1): 279-353 (2023) - [j55]Paul G. Beckman, Christopher J. Geoga, Michael L. Stein, Mihai Anitescu:
Scalable computations for nonstationary Gaussian processes. Stat. Comput. 33(4): 84 (2023) - [j54]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): 1113-1135 (2023) - [j53]Sen Na, Mihai Anitescu:
Superconvergence of Online Optimization for Model Predictive Control. IEEE Trans. Autom. Control. 68(3): 1383-1398 (2023) - [c19]Sungho Shin, François Pacaud, Emil Contantinescu, Mihai Anitescu:
Constrained Policy Optimization for Stochastic Optimal Control under Nonstationary Uncertainties*. ACC 2023: 634-639 - [c18]David L. Cole, Sungho Shin, François Pacaud, Victor M. Zavala, Mihai Anitescu:
Exploiting GPU/SIMD Architectures for Solving Linear-Quadratic MPC Problems*. ACC 2023: 3995-4000 - [c17]Zehao Niu, Mihai Anitescu, Jie Chen:
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning. ICLR 2023 - [i21]Zehao Niu, Mihai Anitescu, Jie Chen:
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning. CoRR abs/2302.05828 (2023) - [i20]Yian Chen, Mihai Anitescu:
Scalable Physics-based Maximum Likelihood Estimation using Hierarchical Matrices. CoRR abs/2303.10102 (2023) - [i19]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 abs/2303.16869 (2023) - [i18]Albert Lam, Mihai Anitescu, Anirudh Subramanyam:
Network Cascade Vulnerability using Constrained Bayesian Optimization. CoRR abs/2304.14420 (2023) - [i17]Sungho Shin, François Pacaud, Mihai Anitescu:
Accelerating Optimal Power Flow with GPUs: SIMD Abstraction of Nonlinear Programs and Condensed-Space Interior-Point Methods. CoRR abs/2307.16830 (2023) - [i16]Ahmed Attia, Daniel Adrian Maldonado, Emil M. Constantinescu, Mihai Anitescu:
Centralized calibration of power system dynamic models using variational data assimilation. CoRR abs/2311.07676 (2023) - [i15]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 abs/2311.12326 (2023) - 2022
- [j52]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): 161-171 (2022) - [j51]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): 3766 (2022) - [j50]Sungho Shin, Mihai Anitescu, Victor M. Zavala:
Exponential Decay of Sensitivity in Graph-Structured Nonlinear Programs. SIAM J. Optim. 32(2): 1156-1183 (2022) - [j49]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): 5996-6011 (2022) - [c16]Vishwas Rao, Anirudh Subramanyam, Michel Schanen, Youngdae Kim, Ignas Satkauskas, Mihai Anitescu:
Frequency Recovery in Power Grids using High-Performance Computing. ICPP Workshops 2022: 20:1-20:6 - [c15]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: 1-5 - [c14]François Pacaud, Michel Schanen, Daniel Adrian Maldonado, Alexis Montoison, Valentin Churavy, Julian Samaroo, Mihai Anitescu:
Batched Second-Order Adjoint Sensitivity for Reduced Space Methods. PP 2022: 60-71 - [i14]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 abs/2201.00241 (2022) - [i13]Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu:
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. CoRR abs/2204.05551 (2022) - [i12]Sungho Shin, Sen Na, Mihai Anitescu:
Near-Optimal Performance of Stochastic Predictive Control. CoRR abs/2210.08599 (2022) - 2021
- [j48]Vishwas Rao, Mihai Anitescu:
Efficient Computation of Extreme Excursion Probabilities for Dynamical Systems through Rice's Formula. SIAM/ASA J. Uncertain. Quantification 9(2): 731-762 (2021) - [j47]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): 208-241 (2021) - [j46]Jing Yu, Mihai Anitescu:
Multidimensional sum-up rounding for integer programming in optimal experimental design. Math. Program. 185(1-2): 37-76 (2021) - [j45]Amanda Lenzi, Julie Bessac, Mihai Anitescu:
Power grid frequency prediction using spatiotemporal modeling. Stat. Anal. Data Min. 14(6): 662-675 (2021) - [c13]Daniel Adrian Maldonado, Michel Schanen, François Pacaud, Mihai Anitescu:
Domain Decomposition Preconditioners for Unstructured Network Problems in Parallel Vector Architectures. ICPP Workshops 2021: 30:1-30:5 - [i11]Johannes J. Brust, Mihai Anitescu:
Convergence Analysis of Fixed Point Chance Constrained Optimal Power Flow Problems. CoRR abs/2101.11740 (2021) - [i10]Sen Na, Mihai Anitescu, Mladen Kolar:
An Adaptive Stochastic Sequential Quadratic Programming with Differentiable Exact Augmented Lagrangians. CoRR abs/2102.05320 (2021) - [i9]Aydin Buluç, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony M. DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary L. 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 abs/2104.11079 (2021) - [i8]Youngdae Kim, François Pacaud, Kibaek Kim, Mihai Anitescu:
Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition. CoRR abs/2106.14995 (2021) - [i7]Sen Na, Mihai Anitescu, Mladen Kolar:
Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming. CoRR abs/2109.11502 (2021) - 2020
- [j44]Sen Na, Mihai Anitescu:
Exponential Decay in the Sensitivity Analysis of Nonlinear Dynamic Programming. SIAM J. Optim. 30(2): 1527-1554 (2020) - [j43]Sungho Shin, Victor M. Zavala, Mihai Anitescu:
Decentralized Schemes With Overlap for Solving Graph-Structured Optimization Problems. IEEE Trans. Control. Netw. Syst. 7(3): 1225-1236 (2020) - [c12]Sungho Shin, Mihai Anitescu, Victor M. Zavala:
Overlapping Schwarz Decomposition for Constrained Quadratic Programs. CDC 2020: 3004-3009 - [c11]Vishwas Rao, Romit Maulik, Emil M. Constantinescu, Mihai Anitescu:
A Machine-Learning-Based Importance Sampling Method to Compute Rare Event Probabilities. ICCS (6) 2020: 169-182 - [i6]Sen Na, Mihai Anitescu:
Superconvergence of Online Optimization for Model Predictive Control. CoRR abs/2001.03707 (2020) - [i5]Vishwas Rao, Mihai Anitescu:
Efficient computation of extreme excursion probabilities for dynamical systems. CoRR abs/2001.11904 (2020) - [i4]Sen Na, Sungho Shin, Mihai Anitescu, Victor M. Zavala:
Overlapping Schwarz Decomposition for Nonlinear Optimal Control. CoRR abs/2005.06674 (2020)
2010 – 2019
- 2019
- [j42]Xialiang Dou, Mihai Anitescu:
Distributionally robust optimization with correlated data from vector autoregressive processes. Oper. Res. Lett. 47(4): 294-299 (2019) - [j41]Cosmin G. Petra, Naiyuan Chiang, Mihai Anitescu:
A Structured Quasi-Newton Algorithm for Optimizing with Incomplete Hessian Information. SIAM J. Optim. 29(2): 1048-1075 (2019) - [c10]Michel Schanen, Daniel Adrian Maldonado, Mihai Anitescu:
A Framework for Distributed Approximation of Moments with Higher-Order Derivatives Through Automatic Differentiation. ICCS (5) 2019: 251-260 - [i3]Xialiang Dou, Mihai Anitescu:
Distributionally Robust Optimization with Correlated Data from Vector Autoregressive Processes. CoRR abs/1909.03433 (2019) - [i2]Sen Na, Mihai Anitescu:
Exponential Decay in the Sensitivity Analysis of Nonlinear Dynamic Programming. CoRR abs/1912.06734 (2019) - [i1]Jacob Roth, David A. Barajas-Solano, Panagiotis Stinis, Jonathan Weare, Mihai Anitescu:
A Kinetic Monte Carlo Approach for Simulating Cascading Transmission Line Failure. CoRR abs/1912.08081 (2019) - 2018
- [j40]Wanting Xu, Mihai Anitescu:
Exponentially Accurate Temporal Decomposition for Long-Horizon Linear-Quadratic Dynamic Optimization. SIAM J. Optim. 28(3): 2541-2573 (2018) - 2017
- [j39]Victor M. Zavala, Kibaek Kim, Mihai Anitescu, John R. Birge:
A Stochastic Electricity Market Clearing Formulation with Consistent Pricing Properties. Oper. Res. 65(3): 557-576 (2017) - [j38]Charlotte A. L. Haley, Mihai Anitescu:
Optimal Bandwidth for Multitaper Spectrum Estimation. IEEE Signal Process. Lett. 24(11): 1696-1700 (2017) - [j37]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. 64-I(5): 1247-1259 (2017) - [c9]Mihai Anitescu, Victor M. Zavala:
MPC as a DVI: Implications on sampling rates and accuracy. CDC 2017: 1933-1938 - 2016
- [j36]Wanting Xu, Mihai Anitescu:
A Limited-Memory Multiple Shooting Method for Weakly Constrained Variational Data Assimilation. SIAM J. Numer. Anal. 54(6): 3300-3331 (2016) - [c8]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: 1147-1158 - 2014
- [j35]Xiaoyan Zeng, Mihai Anitescu:
Sequential Monte Carlo sampling in hidden Markov models of nonlinear dynamical systems. Appl. Math. Comput. 233: 507-521 (2014) - [j34]Cosmin G. Petra, Olaf Schenk, Mihai Anitescu:
Real-Time Stochastic Optimization of Complex Energy Systems on High-Performance Computers. Comput. Sci. Eng. 16(5): 32-42 (2014) - [j33]Oleg Roderick, Mihai Anitescu, Yulia T. Peet:
Proper orthogonal decompositions in multifidelity uncertainty quantification of complex simulation models. Int. J. Comput. Math. 91(4): 748-769 (2014) - [j32]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): 408-424 (2014) - [j31]Victor M. Zavala, Mihai Anitescu:
Scalable Nonlinear Programming via Exact Differentiable Penalty Functions and Trust-Region Newton Methods. SIAM J. Optim. 24(1): 528-558 (2014) - [j30]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): 468-495 (2014) - [j29]Jie Chen, Lei Wang, Mihai Anitescu:
A Fast Summation Tree Code for Matérn Kernel. SIAM J. Sci. Comput. 36(1) (2014) - 2013
- [j28]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): 571-596 (2013) - 2012
- [j27]Cosmin G. Petra, Mihai Anitescu:
A preconditioning technique for Schur complement systems arising in stochastic optimization. Comput. Optim. Appl. 52(2): 315-344 (2012) - [j26]Mihai Anitescu, Goran Lesaja:
Special issue in honour of Professor Florian A. Potra's 60th Birthday. Optim. Methods Softw. 27(4-5): 579-581 (2012) - [j25]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): 845-864 (2012) - [j24]Michael L. Stein, Jie Chen, Mihai Anitescu:
Difference Filter Preconditioning for Large Covariance Matrices. SIAM J. Matrix Anal. Appl. 33(1): 52-72 (2012) - [j23]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) - 2011
- [j22]Jie Chen, Mihai Anitescu, Yousef Saad:
Computing f(A)b via Least Squares Polynomial Approximations. SIAM J. Sci. Comput. 33(1): 195-222 (2011) - [c7]Victor M. Zavala, Mihai Anitescu:
New insights into the dynamic stability of wholesale electricity markets. CACSD 2011: 828-833 - [c6]Miles Lubin, Cosmin G. Petra, Mihai Anitescu, Victor M. Zavala:
Scalable stochastic optimization of complex energy systems. SC 2011: 64:1-64:64 - 2010
- [j21]Mihai Anitescu, Alessandro Tasora:
An iterative approach for cone complementarity problems for nonsmooth dynamics. Comput. Optim. Appl. 47(2): 207-235 (2010) - [j20]Mihai Anitescu, Sanghyun Park:
A linear assignment approach for the least-squares protein morphing problem. Math. Program. 125(1): 195-203 (2010) - [j19]Mihai Anitescu, Robert Fourer:
Preface. Math. Program. 125(2): 205-206 (2010) - [j18]David E. Stewart, Mihai Anitescu:
Optimal control of systems with discontinuous differential equations. Numerische Mathematik 114(4): 653-695 (2010) - [j17]Victor M. Zavala, Mihai Anitescu:
Real-Time Nonlinear Optimization as a Generalized Equation. SIAM J. Control. Optim. 48(8): 5444-5467 (2010) - [c5]Victor M. Zavala, Mihai Anitescu:
Achieving higher frequencies in large-scale nonlinear model predictive control. CDC 2010: 6119-6124
2000 – 2009
- 2009
- [j16]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): 207-236 (2009) - [j15]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): 871-894 (2009) - [j14]Mihai Anitescu:
Spectral Finite-Element Methods for Parametric Constrained Optimization Problems. SIAM J. Numer. Anal. 47(3): 1739-1759 (2009) - 2008
- [j13]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): 969-1001 (2008) - 2007
- [j12]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): 337-371 (2007) - [j11]Mihai Anitescu, William J. Layton:
Sensitivities in Large Eddy Simulation and Improved Estimates of Turbulent Flow Functionals. SIAM J. Sci. Comput. 29(4): 1650-1667 (2007) - 2006
- [j10]Mihai Anitescu:
Optimization-based simulation of nonsmooth rigid multibody dynamics. Math. Program. 105(1): 113-143 (2006) - 2005
- [j9]Mihai Anitescu:
On Using the Elastic Mode in Nonlinear Programming Approaches to Mathematical Programs with Complementarity Constraints. SIAM J. Optim. 15(4): 1203-1236 (2005) - [j8]Mihai Anitescu:
Global Convergence of an Elastic Mode Approach for a Class of Mathematical Programs with Complementarity Constraints. SIAM J. Optim. 16(1): 120-145 (2005) - 2004
- [j7]Mihai Anitescu, Gary D. Hart:
A fixed-point iteration approach for multibody dynamics with contact and small friction. Math. Program. 101(1): 3-32 (2004) - [c4]Jufeng Peng, Mihai Anitescu, Srinivas Akella:
Optimal Control of Multiple Robot Systems with Friction using MPCC. ICRA 2004: 5224-5231 - 2003
- [c3]Mihai Anitescu:
A fixed time-step approach for multibody dynamics with contact and friction. IROS 2003: 3725-3731 - [c2]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: 34-41 - 2002
- [j6]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): 359-386 (2002) - [j5]Mihai Anitescu:
A Superlinearly Convergent Sequential Quadratically Constrained Quadratic Programming Algorithm for Degenerate Nonlinear Programming. SIAM J. Optim. 12(4): 949-978 (2002) - 2001
- [j4]Mehmet Kivanç Mihçak, Pierre Moulin, Mihai Anitescu, Kannan Ramchandran:
Rate-distortion-optimal subband coding without perfect-reconstruction constraints. IEEE Trans. Signal Process. 49(3): 542-557 (2001) - 2000
- [j3]Mihai Anitescu:
Degenerate Nonlinear Programming with a Quadratic Growth Condition. SIAM J. Optim. 10(4): 1116-1135 (2000) - [j2]Pierre Moulin, Mihai Anitescu, Kannan Ramchandran:
Theory of rate-distortion-optimal, constrained filterbanks-application to IIR and FIR biorthogonal designs. IEEE Trans. Signal Process. 48(4): 1120-1132 (2000)
1990 – 1999
- 1997
- [j1]Pierre Moulin, Mihai Anitescu, Kenneth O. Kortanek, Florian A. Potra:
The role of linear semi-infinite programming in signal-adapted QMF bank design. IEEE Trans. Signal Process. 45(9): 2160-2174 (1997) - 1996
- [c1]Pierre Moulin, Mihai Anitescu, Kenneth O. Kortanek, Florian A. Potra:
Design of signal-adapted FIR paraunitary filter banks. ICASSP 1996: 1519-1522
Coauthor Index
Daniel A. Maldonado
aka: Daniel Adrian Maldonado
aka: Daniel Adrian Maldonado
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