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Joaquim R. R. A. Martins
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2020 – today
- 2024
- [j12]Paul Saves
, Rémi Lafage, Nathalie Bartoli, Youssef Diouane
SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes. Adv. Eng. Softw. 188: 103571 (2024) - [c3]Kartik Naik, Yingqian Liao, Boxi Jiang, Joaquim R. R. A. Martins, Jing Sun:
Control Co-Design of a Ducted Hydrokinetic Turbine. ACC 2024: 2558-2563 - 2023
- [j11]Sabet Seraj
Dissipation and time step scaling strategies for low and high Mach number flows. J. Comput. Phys. 491: 112358 (2023) - [j10]Hannah M. Hajdik
pyGeo: A geometry package for multidisciplinary design optimization. J. Open Source Softw. 8(87): 5319 (2023) - [c2]Mohammad Reza Amini, Boxi Jiang, Yingqian Liao, Kartik Naik, Joaquim R. R. A. Martins, Jing Sun
Control Co-design of a Hydrokinetic Turbine: A Comparative Study of Open-loop Optimal Control and Feedback Control. ACC 2023: 3728-3734 - [i6]Mohammad Reza Amini, Boxi Jiang, Yingqian Liao, Kartik Naik, Joaquim R. R. A. Martins, Jing Sun
Control Co-design of a Hydrokinetic Turbine: A Comparative Study of Open-loop Optimal Control and Feedback Control. CoRR abs/2302.03177 (2023) - [i5]Paul Saves, Rémi Lafage, Nathalie Bartoli, Youssef Diouane, Jasper H. Bussemaker, Thierry Lefebvre, John T. Hwang
SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes. CoRR abs/2305.13998 (2023) - 2022
- [i4]Jichao Li, Xiaosong Du, Joaquim R. R. A. Martins:
Machine Learning in Aerodynamic Shape Optimization. CoRR abs/2202.07141 (2022) - [i3]Boxi Jiang, Mohammad Reza Amini, Yingqian Liao, Joaquim R. R. A. Martins, Jing Sun
Control Co-design of a Hydrokinetic Turbine with Open-loop Optimal Control. CoRR abs/2204.01134 (2022) - 2021
- [j9]Donald R. Jones
The DIRECT algorithm: 25 years Later. J. Glob. Optim. 79(3): 521-566 (2021) - [c1]Anil Yildirim, Charles A. Mader, Joaquim R. R. A. Martins:
Accelerating parallel CFD codes on modern vector processors using blockettes. PASC 2021: 11:1-11:9 - [i2]Thomas O'Leary-Roseberry, Xiaosong Du, Anirban Chaudhuri, Joaquim R. R. A. Martins, Karen Willcox, Omar Ghattas:
Adaptive Projected Residual Networks for Learning Parametric Maps from Sparse Data. CoRR abs/2112.07096 (2021) - 2020
- [j8]Charles A. Mader, Gaetan K. W. Kenway, Anil Yildirim
ADflow: An Open-Source Computational Fluid Dynamics Solver for Aerodynamic and Multidisciplinary Optimization. J. Aerosp. Inf. Syst. 17(9): 508-527 (2020) - [j7]Neil Wu
pyOptSparse: A Python framework for large-scale constrained nonlinear optimization of sparse systems. J. Open Source Softw. 5(54): 2564 (2020)
2010 – 2019
- 2019
- [j6]Mohamed Amine Bouhlel
A Python surrogate modeling framework with derivatives. Adv. Eng. Softw. 135 (2019) - [j5]Mohamed Amine Bouhlel
Gradient-enhanced kriging for high-dimensional problems. Eng. Comput. 35(1): 157-173 (2019) - [j4]Anil Yildirim
A Jacobian-free approximate Newton-Krylov startup strategy for RANS simulations. J. Comput. Phys. 397 (2019) - 2018
- [j3]John T. Hwang
A Computational Architecture for Coupling Heterogeneous Numerical Models and Computing Coupled Derivatives. ACM Trans. Math. Softw. 44(4): 37:1-37:39 (2018) - 2017
- [i1]Mohamed Amine Bouhlel, Joaquim R. R. A. Martins:
Gradient-enhanced kriging for high-dimensional problems. CoRR abs/1708.02663 (2017)
2000 – 2009
- 2009
- [j2]Joaquim R. R. A. Martins, Christopher Marriage, Nathan Tedford:
pyMDO: An Object-Oriented Framework for Multidisciplinary Design Optimization. ACM Trans. Math. Softw. 36(4): 20:1-20:25 (2009) - 2003
- [j1]Joaquim R. R. A. Martins, Peter Sturdza, Juan J. Alonso:
The complex-step derivative approximation. ACM Trans. Math. Softw. 29(3): 245-262 (2003)
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