Stefan M. Wild
Stefan M. Wild
Argonne National Laboratory, Mathematics & Computer Science Division
Zweryfikowany adres z - Strona główna
Cytowane przez
Cytowane przez
Benchmarking derivative-free optimization algorithms
JJ Moré, SM Wild
SIAM Journal on Optimization 20 (1), 172-191, 2009
Nuclear energy density optimization
M Kortelainen, T Lesinski, J Moré, W Nazarewicz, J Sarich, N Schunck, ...
Physical Review C 82 (2), 024313, 2010
Nuclear energy density optimization: Large deformations
M Kortelainen, J McDonnell, W Nazarewicz, PG Reinhard, J Sarich, ...
Physical Review C 85 (2), 024304, 2012
Maximizing influence in a competitive social network: a follower's perspective
T Carnes, C Nagarajan, SM Wild, A Van Zuylen
Proceedings of the Ninth International Conference on Electronic Commerce …, 2007
Optimized Chiral Nucleon-Nucleon Interaction at Next-to-Next-to-Leading Order
A Ekström, G Baardsen, C Forssén, G Hagen, M Hjorth-Jensen, ...
Physical Review Letters 110 (19), 192502, 2013
Improving non-negative matrix factorizations through structured initialization
S Wild, J Curry, A Dougherty
Pattern Recognition 37 (11), 2217-2232, 2004
ORBIT: Optimization by radial basis function interpolation in trust-regions
SM Wild, RG Regis, CA Shoemaker
SIAM Journal on Scientific Computing 30 (6), 3197-3219, 2008
Nuclear energy density optimization: Shell structure
M Kortelainen, J McDonnell, W Nazarewicz, E Olsen, PG Reinhard, ...
Physical Review C 89 (5), 054314, 2014
Axially Deformed Solution of the Skyrme-Hartree-Fock-Bogolyubov Equations Using the Transformed Harmonic Oscillator Basis (II) HFBTHO v2.00d: A New Version of the Program.
MV Stoitsov, N Schunck, M Kortelainen, N Michel, H Nam, E Olsen, ...
Computer Physics Communications 184 (6), 1592-1604, 2013
DOE advanced scientific computing advisory subcommittee (ASCAC) report: top ten Exascale research challenges
R Lucas, J Ang, K Bergman, S Borkar, W Carlson, L Carrington, G Chiu, ...
USDOE Office of Science (SC)(United States), 2014
Bayesian Calibration and Uncertainty Analysis for Computationally Expensive Models Using Optimization and Radial Basis Function Approximation
N Bliznyuk, D Ruppert, C Shoemaker, R Regis, S Wild, P Mugunthan
Journal of Computational and Graphical Statistics 17 (2), 270-294, 2008
Seeding non-negative matrix factorizations with the spherical k-means clustering
S Wild, WS Wild, J Curry, A Dougherty, M Betterton
University of Colorado, 2003
Uncertainty Quantification for Nuclear Density Functional Theory and Information Content of New Measurements
JD McDonnell, N Schunck, D Higdon, J Sarich, SM Wild, W Nazarewicz
Physical Review Letters 114 (12), 122501, 2015
TAO 3.6 users manual
T Munson, J Sarich, S Wild, S Benson, LC McInnes
Argonne National Laboratory, Mathematics and Computer Science Division, 2015
Motivating nonnegative matrix factorizations
S Wild, J Curry, A Dougherty
In Proc. SIAM Applied Linear Algebra Conf, 2003
Applied Mathematics Research for Exascale Computing
J Dongarra, J Hittinger, J Bell, L Chacon, R Falgout, M Heroux, P Hovland, ...
U.S. Department of Energy, ASCR Report, 2014
Modeling an augmented Lagrangian for blackbox constrained optimization
RB Gramacy, GA Gray, S Le Digabel, HKH Lee, P Ranjan, G Wells, ...
Technometrics 58 (1), 1-11, 2016
Global convergence of radial basis function trust-region algorithms for derivative-free optimization
SM Wild, C Shoemaker
SIAM Review 55 (2), 349-371, 2013
Multi-Objective Optimization of HPC Kernels for Performance, Power, and Energy
P Balaprakash, A Tiwari, SM Wild
High Performance Computing Systems. Performance Modeling, Benchmarking and …, 2014
Global Convergence of Radial Basis Function Trust Region Derivative-Free Algorithms
SM Wild, C Shoemaker
SIAM Journal on Optimization 21 (3), 761-781, 2011
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