適用於公開取用強制性政策的文章 - Sven Leyffer瞭解詳情
未在任何資料庫公開的文章：1
Modeling mixed-integer constrained optimal control problems in AMPL
C Kirches, HG Bock, S Leyffer
IFAC Proceedings Volumes 45 (2), 1124-1129, 2012
授權規定： German Research Foundation
在某個資料庫公開的文章：57
A survey of nonlinear robust optimization
S Leyffer, M Menickelly, T Munson, C Vanaret, SM Wild
INFOR: Information Systems and Operational Research 58 (2), 342-373, 2020
授權規定： US Department of Energy
Minotaur: A mixed-integer nonlinear optimization toolkit
A Mahajan, S Leyffer, J Linderoth, J Luedtke, T Munson
Mathematical Programming Computation 13, 301-338, 2021
授權規定： US Department of Energy
Optimal design and dispatch of a system of diesel generators, photovoltaics and batteries for remote locations
MS Scioletti, AM Newman, JK Goodman, AJ Zolan, S Leyffer
Optimization and Engineering 18, 755-792, 2017
授權規定： US Department of Energy, US Department of Defense
Optimal scheduling of in-situ analysis for large-scale scientific simulations
P Malakar, V Vishwanath, T Munson, C Knight, M Hereld, S Leyffer, ...
Proceedings of the International Conference for High Performance Computing …, 2015
授權規定： US Department of Energy
Joint ptycho-tomography reconstruction through alternating direction method of multipliers
S Aslan, V Nikitin, DJ Ching, T Bicer, S Leyffer, D Gürsoy
Optics express 27 (6), 9128-9143, 2019
授權規定： US Department of Energy, Swedish Research Council
MPEC methods for bilevel optimization problems
Y Kim, S Leyffer, T Munson
Bilevel Optimization: Advances and Next Challenges, 335-360, 2020
授權規定： US Department of Energy
Mixed-integer PDE-constrained optimal control of gas networks
M Hahn, S Leyffer, VM Zavala
Mathematics and Computer Science 113, 2017
授權規定： US Department of Energy
Photon-limited ptychography of 3D objects via Bayesian reconstruction
V Nikitin, S Aslan, Y Yao, T Biçer, S Leyffer, R Mokso, D Gürsoy
OSA Continuum 2 (10), 2948-2968, 2019
授權規定： US Department of Energy, US Office of the Director of National Intelligence …
Apprentice for event generator tuning
M Krishnamoorthy, H Schulz, X Ju, W Wang, S Leyffer, Z Marshall, ...
EPJ Web of Conferences 251, 03060, 2021
授權規定： US Department of Energy
Joint reconstruction of x-ray fluorescence and transmission tomography
ZW Di, S Chen, YP Hong, C Jacobsen, S Leyffer, SM Wild
Optics express 25 (12), 13107-13124, 2017
授權規定： US Department of Energy, US National Institutes of Health
Non-negative matrix analysis for effective feature extraction in X-ray spectromicroscopy
R Mak, M Lerotic, H Fleckenstein, S Vogt, SM Wild, S Leyffer, Y Sheynkin, ...
Faraday discussions 171, 357-371, 2014
授權規定： US National Institutes of Health
Optimization-based approach for joint x-ray fluorescence and transmission tomographic inversion
Z Di, S Leyffer, SM Wild
SIAM Journal on Imaging Sciences 9 (1), 1-23, 2016
授權規定： US Department of Energy
TACO: a toolkit for AMPL control optimization
C Kirches, S Leyffer
Mathematical Programming Computation 5, 227-265, 2013
授權規定： German Research Foundation
Sequential linear integer programming for integer optimal control with total variation regularization
S Leyffer, P Manns
ESAIM: Control, Optimisation and Calculus of Variations 28, 66, 2022
授權規定： US Department of Energy
A two-level approach to large mixed-integer programs with application to cogeneration in energy-efficient buildings
F Lin, S Leyffer, T Munson
Computational Optimization and Applications 65, 1-46, 2016
授權規定： US Department of Energy
Practical algorithms for multivariate rational approximation
AP Austin, M Krishnamoorthy, S Leyffer, S Mrenna, J Müller, H Schulz
Computer Physics Communications 261, 107663, 2021
授權規定： US Department of Energy
Regularizing bilevel nonlinear programs by lifting
K Hatz, S Leyffer, JP Schlöder, HG Bock
Argonne National Laboratory, USA, 2013
授權規定： German Research Foundation
Modeling design and control problems involving neural network surrogates
D Yang, P Balaprakash, S Leyffer
Computational Optimization and Applications 83 (3), 759-800, 2022
授權規定： US National Science Foundation, US Department of Energy
Stochastic learning approach for binary optimization: Application to Bayesian optimal design of experiments
A Attia, S Leyffer, TS Munson
SIAM Journal on Scientific Computing 44 (2), B395-B427, 2022
授權規定： US Department of Energy
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