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ORCIDWolfgang Wagner 0002
Person information
- affiliation: Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany
Other persons with the same name
- Wolfgang Wagner — disambiguation page
- Wolfgang Wagner 0001
![[0000-0001-7704-6857]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7704-6857")
— TU Wien, Vienna, Austria - Wolfgang Wagner 0003 — RWTH Aachen University, Helmholtz-Institute for Biomedical Engineering, Germany
- Wolfgang Wagner 0004 — University of Tartu, Institute of Psychology, Estonia (and 1 more)
- Wolfgang Wagner 0005 — TU München, Institute for Machine Tools and Industrial Management, Germany
- Wolfgang Wagner 0006 — University of Wuppertal, Germany
- Wolfgang Wagner 0007 — Princeton University, Department of Chemistry, NJ, USA
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Journal Articles
- 2018
[j29]Wolfgang Wagner:
A random walk model for the Schrödinger equation. Math. Comput. Simul. 143: 138-148 (2018)- 2017
- [j28]Kok Foong Lee, Maksym Dosta, Andrew D. McGuire, Sebastian Mosbach, Wolfgang Wagner, Stefan Heinrich, Markus Kraft:
Development of a multi-compartment population balance model for high-shear wet granulation with discrete element method. Comput. Chem. Eng. 99: 171-184 (2017) - [j27]Markus Kraft, Wolfgang Wagner:
A random cloud algorithm for the Schrödinger equation. Monte Carlo Methods Appl. 23(4): 221-240 (2017) - 2016
- [j26]Orazio Muscato, Wolfgang Wagner:
A Class of Stochastic Algorithms for the Wigner Equation. SIAM J. Sci. Comput. 38(3) (2016) - 2015
- [j25]Kok Foong Lee, Sebastian Mosbach, Markus Kraft, Wolfgang Wagner:
A multi-compartment population balance model for high shear granulation. Comput. Chem. Eng. 75: 1-13 (2015) - [j24]Kok Foong Lee, Robert I. A. Patterson, Wolfgang Wagner, Markus Kraft:
Stochastic weighted particle methods for population balance equations with coagulation, fragmentation and spatial inhomogeneity. J. Comput. Phys. 303: 1-18 (2015) - [j23]Wolfgang Wagner:
A class of probabilistic models for the Schrödinger equation. Monte Carlo Methods Appl. 21(2): 121-137 (2015) - 2014
- [j22]Robert I. A. Patterson, Wolfgang Wagner:
Cell Size Error in Stochastic Particle Methods for Coagulation Equations with Advection. SIAM J. Numer. Anal. 52(1): 424-442 (2014) - 2013
- [j21]Orazio Muscato, Vincenza Di Stefano, Wolfgang Wagner:
A variance-reduced electrothermal Monte Carlo method for semiconductor device simulation. Comput. Math. Appl. 65(3): 520-527 (2013) - [j20]William J. Menz, Robert I. A. Patterson, Wolfgang Wagner, Markus Kraft:
Application of stochastic weighted algorithms to a multidimensional silica particle model. J. Comput. Phys. 248: 221-234 (2013) - 2012
- [j19]Shraddha Shekar, William J. Menz, Alastair J. Smith, Markus Kraft, Wolfgang Wagner:
On a multivariate population balance model to describe the structure and composition of silica nanoparticles. Comput. Chem. Eng. 43: 130-147 (2012) - [j18]Robert I. A. Patterson, Wolfgang Wagner:
A Stochastic Weighted Particle Method for Coagulation-Advection Problems. SIAM J. Sci. Comput. 34(3) (2012) - 2011
- [j17]Robert I. A. Patterson, Wolfgang Wagner, Markus Kraft:
Stochastic weighted particle methods for population balance equations. J. Comput. Phys. 230(19): 7456-7472 (2011) - 2010
- [j16]Andreas Braumann, Markus Kraft, Wolfgang Wagner:
Numerical study of a stochastic particle algorithm solving a multidimensional population balance model for high shear granulation. J. Comput. Phys. 229(20): 7672-7691 (2010) - [j15]Wolfgang Wagner:
Random and deterministic fragmentation models. Monte Carlo Methods Appl. 16(3-4): 399-420 (2010) - 2009
- [j14]Matthew Celnik, Robert I. A. Patterson, Markus Kraft, Wolfgang Wagner:
A predictor-corrector algorithm for the coupling of stiff ODEs to a particle population balance. J. Comput. Phys. 228(8): 2758-2769 (2009) - 2008
- [j13]Wolfgang Wagner:
Deviational particle Monte Carlo for the Boltzmann equation. Monte Carlo Methods Appl. 14(3): 191-268 (2008) - 2007
- [j12]Sergej Rjasanow, Wolfgang Wagner:
Time Splitting Error in DSMC Schemes for the Spatially Homogeneous Inelastic Boltzmann Equation. SIAM J. Numer. Anal. 45(1): 54-67 (2007) - 2006
- [j11]Alejandro L. Garcia, Wolfgang Wagner:
Generation of the Maxwellian inflow distribution. J. Comput. Phys. 217(2): 693-708 (2006) - 2005
- [j10]Irene M. Gamba, Sergej Rjasanow, Wolfgang Wagner:
Direct simulation of the uniformly heated granular boltzmann equation, . Math. Comput. Model. 42(5-6): 683-700 (2005) - 2004
- [j9]Christian Lécot, Wolfgang Wagner:
A quasi-Monte Carlo scheme for Smoluchowski's coagulation equation. Math. Comput. 73(248): 1953-1966 (2004) - 2003
- [j8]Wolfgang Wagner:
Stochastic, analytic and numerical aspects of coagulation processes. Math. Comput. Simul. 62(3-6): 265-275 (2003) - [j7]Ingo Matheis, Wolfgang Wagner:
Convergence of the Stochastic Weighted Particle Method for the Boltzmann Equation. SIAM J. Sci. Comput. 24(5): 1589-1609 (2003) - 2002
- [j6]Sergei M. Ermakov, Wolfgang Wagner:
Monte Carlo difference schemes for the wave equation. Monte Carlo Methods Appl. 8(1): 1-30 (2002) - [j5]Markus Kraft, Wolfgang Wagner:
An efficient stochastic chemistry approximation for the PDF transport equation. Monte Carlo Methods Appl. 8(4): 371-394 (2002) - 2001
- [j4]Andreas Eibeck, Wolfgang Wagner:
Stochastic algorithms for studying coagulation dynamics and gelation phenomena. Monte Carlo Methods Appl. 7(1-2): 157-166 (2001) - 2000
- [j3]Sergej Rjasanow, Wolfgang Wagner:
A Temperature Time Counter Scheme for the Boltzmann Equation. SIAM J. Numer. Anal. 37(6): 1800-1819 (2000) - [j2]Andreas Eibeck, Wolfgang Wagner:
An Efficient Stochastic Algorithm for Studying Coagulation Dynamics and Gelation Phenomena. SIAM J. Sci. Comput. 22(3): 802-821 (2000) - 1997
- [j1]Anastasya Kolodko, Wolfgang Wagner:
Convergence of a Nanbu type method for the Smoluchowski equation. Monte Carlo Methods Appl. 3(4): 255-274 (1997)
Coauthor Index
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