Selected preprints of submitted articles
[1] 
Peherstorfer, B., Kramer, B. & Willcox, K. Multifidelity preconditioning of the crossentropy method for rare event simulation and failure probability estimation. University of WisconsinMadison, Technical Report, 2017. [BibTeX]@techreport{PKW17MFCE,
title = {Multifidelity preconditioning of the crossentropy method for rare event simulation and failure probability estimation},
author = {Peherstorfer, B. and Kramer, B. and Willcox, K.},
volume = {Technical Report},
year = {2017},
institution = {University of WisconsinMadison},
} 
[2] 
Peherstorfer, B. Multifidelity Monte Carlo estimation with adaptive lowfidelity models. University of WisconsinMadison, Technical Report, 2017. [BibTeX]@techreport{P17AMFMC,
title = {Multifidelity Monte Carlo estimation with adaptive lowfidelity models},
author = {Peherstorfer, B.},
volume = {Technical Report},
year = {2017},
institution = {University of WisconsinMadison},
} 
[3] 
Qian, E., Peherstorfer, B., O'Malley, D., Vesselinov, V.V. & Willcox, K. Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices. Massachusetts Institute of Technology, ACDL TR20172, 2017. [BibTeX]@techreport{QPOVW17MFGSA,
title = {Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices},
author = {Qian, E. and Peherstorfer, B. and O'Malley, D. and Vesselinov, V.V. and Willcox, K.},
volume = {ACDL TR20172},
year = {2017},
institution = {Massachusetts Institute of Technology},
} 
[4] 
Kramer, B., Marques, A., Peherstorfer, B., Villa, U. & Willcox, K. Multifidelity probability estimation via fusion of estimators. Massachusetts Institute of Technology, ACDL TR20173, 2017. [BibTeX]@techreport{KMPVW17Fusion,
title = {Multifidelity probability estimation via fusion of estimators},
author = {Kramer, B. and Marques, A. and Peherstorfer, B. and Villa, U. and Willcox, K.},
volume = {ACDL TR20173},
year = {2017},
institution = {Massachusetts Institute of Technology},
} 
Full list


Journal publications
[1] 
Peherstorfer, B., Gunzburger, M. & Willcox, K. Convergence analysis of multifidelity Monte Carlo estimation. Numerische Mathematik, 2017. (accepted). [BibTeX]@article{PWK16MFMCAsymptotics,
title = {Convergence analysis of multifidelity Monte Carlo estimation},
author = {Peherstorfer, B. and Gunzburger, M. and Willcox, K.},
journal = {Numerische Mathematik},
year = {2017},
} 
[2] 
Zimmermann, R., Peherstorfer, B. & Willcox, K. Geometric subspace updates with applications to online adaptive nonlinear model reduction. SIAM Journal on Matrix Analysis and Applications, 2017. (accepted). [BibTeX]@article{ZPW17SIMAXManifold,
title = {Geometric subspace updates with applications to online adaptive nonlinear model reduction},
author = {Zimmermann, R. and Peherstorfer, B. and Willcox, K.},
journal = {SIAM Journal on Matrix Analysis and Applications},
year = {2017},
} 
[3] 
Peherstorfer, B., Willcox, K. & Gunzburger, M. Survey of multifidelity methods in uncertainty propagation, inference, and optimization. SIAM Review, 2017. (accepted). [BibTeX]@article{PWG17MultiSurvey,
title = {Survey of multifidelity methods in uncertainty propagation, inference, and optimization},
author = {Peherstorfer, B. and Willcox, K. and Gunzburger, M.},
journal = {SIAM Review},
year = {2017},
} 
[4] 
Peherstorfer, B., Gugercin, S. & Willcox, K. Datadriven reduced model construction with timedomain Loewner models. SIAM Journal on Scientific Computing, 39(5):A2152A2178, 2017. [BibTeX]@article{PSW16TLoewner,
title = {Datadriven reduced model construction with timedomain Loewner models},
author = {Peherstorfer, B. and Gugercin, S. and Willcox, K.},
journal = {SIAM Journal on Scientific Computing},
volume = {39},
number = {5},
pages = {A2152A2178},
year = {2017},
} 
[5] 
Peherstorfer, B., Kramer, B. & Willcox, K. Combining multiple surrogate models to accelerate failure probability estimation with expensive highfidelity models. Journal of Computational Physics, 341:6175, 2017. [BibTeX]@article{PKW16MixedMFIS,
title = {Combining multiple surrogate models to accelerate failure probability estimation with expensive highfidelity models},
author = {Peherstorfer, B. and Kramer, B. and Willcox, K.},
journal = {Journal of Computational Physics},
volume = {341},
pages = {6175},
year = {2017},
} 
[6] 
Kramer, B., Peherstorfer, B. & Willcox, K. Feedback Control for Systems with Uncertain Parameters Using OnlineAdaptive Reduced Models. SIAM Journal on Applied Dynamical Systems, 16(3):15631586, 2017. [BibTeX]@article{KPW16ControlAdaptROM,
title = {Feedback Control for Systems with Uncertain Parameters Using OnlineAdaptive Reduced Models},
author = {Kramer, B. and Peherstorfer, B. and Willcox, K.},
journal = {SIAM Journal on Applied Dynamical Systems},
volume = {16},
number = {3},
pages = {15631586},
year = {2017},
} 
[7] 
Peherstorfer, B., Willcox, K. & Gunzburger, M. Optimal model management for multifidelity Monte Carlo estimation. SIAM Journal on Scientific Computing, 38(5):A3163A3194, 2016. [BibTeX]@article{Peherstorfer15Multi,
title = {Optimal model management for multifidelity Monte Carlo estimation},
author = {Peherstorfer, B. and Willcox, K. and Gunzburger, M.},
journal = {SIAM Journal on Scientific Computing},
volume = {38},
number = {5},
pages = {A3163A3194},
year = {2016},
} 
[8] 
Peherstorfer, B. & Willcox, K. Datadriven operator inference for nonintrusive projectionbased model reduction. Computer Methods in Applied Mechanics and Engineering, 306:196215, 2016. [BibTeX]@article{Peherstorfer16DataDriven,
title = {Datadriven operator inference for nonintrusive projectionbased model reduction},
author = {Peherstorfer, B. and Willcox, K.},
journal = {Computer Methods in Applied Mechanics and Engineering},
volume = {306},
pages = {196215},
year = {2016},
} 
[9] 
Peherstorfer, B. & Willcox, K. Dynamic datadriven model reduction: Adapting reduced models from incomplete data. Advanced Modeling and Simulation in Engineering Sciences, 3(11), 2016. [BibTeX]@article{Peherstorfer16AdaptROM,
title = {Dynamic datadriven model reduction: Adapting reduced models from incomplete data},
author = {Peherstorfer, B. and Willcox, K.},
journal = {Advanced Modeling and Simulation in Engineering Sciences},
volume = {3},
number = {11},
year = {2016},
} 
[10] 
Peherstorfer, B., Cui, T., Marzouk, Y. & Willcox, K. Multifidelity Importance Sampling. Computer Methods in Applied Mechanics and Engineering, 300:490509, 2016. [BibTeX]@article{Peherstorfer16MFIS,
title = {Multifidelity Importance Sampling},
author = {Peherstorfer, B. and Cui, T. and Marzouk, Y. and Willcox, K.},
journal = {Computer Methods in Applied Mechanics and Engineering},
volume = {300},
pages = {490509},
year = {2016},
} 
[11] 
Peherstorfer, B. & Willcox, K. Online Adaptive Model Reduction for Nonlinear Systems via LowRank Updates. SIAM Journal on Scientific Computing, 37(4):A2123A2150, 2015. [BibTeX]@article{Peherstorfer15aDEIM,
title = {Online Adaptive Model Reduction for Nonlinear Systems via LowRank Updates},
author = {Peherstorfer, B. and Willcox, K.},
journal = {SIAM Journal on Scientific Computing},
volume = {37},
number = {4},
pages = {A2123A2150},
year = {2015},
} 
[12] 
Peherstorfer, B., Gómez, P. & Bungartz, H.J. Reduced Models for Sparse Grid Discretizations of the MultiAsset BlackScholes Equation. Advances in Computational Mathematics, 41(5):13651389, 2015. [BibTeX]@article{pehersto15BlackScholes,
title = {Reduced Models for Sparse Grid Discretizations of the MultiAsset BlackScholes Equation},
author = {Peherstorfer, B. and Gómez, P. and Bungartz, H.J.},
journal = {Advances in Computational Mathematics},
volume = {41},
number = {5},
pages = {13651389},
year = {2015},
} 
[13] 
Peherstorfer, B. & Willcox, K. Dynamic DataDriven ReducedOrder Models. Computer Methods in Applied Mechanics and Engineering, 291:2141, 2015. [BibTeX]@article{pehersto15dynamic,
title = {Dynamic DataDriven ReducedOrder Models},
author = {Peherstorfer, B. and Willcox, K.},
journal = {Computer Methods in Applied Mechanics and Engineering},
volume = {291},
pages = {2141},
year = {2015},
} 
[14] 
Peherstorfer, B., Zimmer, S., Zenger, C. & Bungartz, H.J. A Multigrid Method for Adaptive Sparse Grids. SIAM Journal on Scientific Computing, 37(5):S51S70, 2015. [BibTeX]@article{peherstorfer15htmg,
title = {A Multigrid Method for Adaptive Sparse Grids},
author = {Peherstorfer, B. and Zimmer, S. and Zenger, C. and Bungartz, H.J.},
journal = {SIAM Journal on Scientific Computing},
volume = {37},
number = {5},
pages = {S51S70},
year = {2015},
} 
[15] 
Peherstorfer, B., Butnaru, D., Willcox, K. & Bungartz, H.J. Localized Discrete Empirical Interpolation Method. SIAM Journal on Scientific Computing, 36(1):A168A192, 2014. [BibTeX]@article{peherstorfer13localized,
title = {Localized Discrete Empirical Interpolation Method},
author = {Peherstorfer, B. and Butnaru, D. and Willcox, K. and Bungartz, H.J.},
journal = {SIAM Journal on Scientific Computing},
volume = {36},
number = {1},
pages = {A168A192},
year = {2014},
} 
[16] 
Peherstorfer, B., Kowitz, C., Pflüger, D. & Bungartz, H.J. Selected Recent Applications of Sparse Grids. Numerical Mathematics: Theory, Methods and Applications, 8(1):4777, 2014. [BibTeX]@article{Peherstorfer14SGReview,
title = {Selected Recent Applications of Sparse Grids},
author = {Peherstorfer, B. and Kowitz, C. and Pflüger, D. and Bungartz, H.J.},
journal = {Numerical Mathematics: Theory, Methods and Applications},
volume = {8},
number = {1},
pages = {4777},
year = {2014},
} 
[17] 
Pflüger, D., Peherstorfer, B. & Bungartz, H.J. Spatially adaptive sparse grids for highdimensional datadriven problems. Journal of Complexity, 26(5):508522, 2010. [BibTeX]@article{pflueger10spatially,
title = {Spatially adaptive sparse grids for highdimensional datadriven problems},
author = {Pflüger, D. and Peherstorfer, B. and Bungartz, H.J.},
journal = {Journal of Complexity},
volume = {26},
number = {5},
pages = {508522},
year = {2010},
} 
Full list

