Radu Serban
Radu Serban
Verified email at wisc.edu
Cited by
Cited by
SUNDIALS: Suite of nonlinear and differential/algebraic equation solvers
AC Hindmarsh, PN Brown, KE Grant, SL Lee, R Serban, DE Shumaker, ...
ACM Transactions on Mathematical Software (TOMS) 31 (3), 363-396, 2005
Adjoint sensitivity analysis for differential-algebraic equations: The adjoint DAE system and its numerical solution
Y Cao, S Li, L Petzold, R Serban
SIAM journal on scientific computing 24 (3), 1076-1089, 2003
CVODES: the sensitivity-enabled ODE solver in SUNDIALS
R Serban, AC Hindmarsh
International Design Engineering Technical Conferences and Computers andá…, 2005
Error estimation for reduced-order models of dynamical systems
C Homescu, LR Petzold, R Serban
SIAM Journal on Numerical Analysis 43 (4), 1693-1714, 2005
Chrono: An open source multi-physics dynamics engine
A Tasora, R Serban, H Mazhar, A Pazouki, D Melanz, J Fleischmann, ...
International Conference on High Performance Computing in Science andá…, 2015
Sensitivity analysis of differential-algebraic equations and partial differential equations
L Petzold, S Li, Y Cao, R Serban
Computers & chemical engineering 30 (10-12), 1553-1559, 2006
Halo orbit mission correction maneuvers using optimal control
R Serban, WS Koon, MW Lo, JE Marsden, LR Petzold, SD Ross, ...
Automatica 38 (4), 571-583, 2002
Identification and identifiability of unknown parameters in multibody dynamic systems
R Serban, JS Freeman
Multibody System Dynamics 5 (4), 335-350, 2001
CVODES: An ODE solver with sensitivity analysis capabilities
R Serban, AC Hindmarsh
Technical Report UCRL-JP-200039, Lawrence Livermore National Laboratory, 2003
Kinematic and kinetic derivatives in multibody system analysis
R Serban, EJ Haug
International Design Engineering Technical Conferences and Computers andá…, 1997
User documentation for CVODES, an ODE solver with sensitivity analysis capabilities
AC Hindmarsh, R Serban
Livermore (California): Lawrence Livermore National Laboratory 189, 2002
A high-fidelity approach for vehicle mobility simulation: Nonlinear finite element tires operating on granular material
A Recuero, R Serban, B Peterson, H Sugiyama, P Jayakumar, D Negrut
Journal of Terramechanics 72, 39-54, 2017
User Documentation for CVODES v2. 1.0
A Hindmarsh, R Serban
United States. Department of Energy, 2004
Parallel computing in multibody system dynamics: why, when, and how
D Negrut, R Serban, H Mazhar, T Heyn
Journal of Computational and Nonlinear Dynamics 9 (4), 2014
A topology-based approach for exploiting sparsity in multibody dynamics in Cartesian formulation
R Serban, D Negrut, EJ Haug, FA Potra
Journal of Structural Mechanics 25 (3), 379-396, 1997
Direct differentiation methods for the design sensitivity of multibody dynamic systems
R Serban, JS Freeman
ASME 1996 Design Engineering Technical Conferences and Computers iná…, 1996
Computational algorithm for dynamic optimization of chemical vapor deposition processes in stagnation flow reactors
LL Raja, RJ Kee, R Serban, LR Petzold
Journal of the electrochemical society 147 (7), 2718, 2000
Compliant contact versus rigid contact: A comparison in the context of granular dynamics
A Pazouki, M Kwarta, K Williams, W Likos, R Serban, P Jayakumar, ...
Physical Review E 96 (4), 042905, 2017
COOPT—a software package for optimal control of large-scale differential–algebraic equation systems
R Serban, LR Petzold
Mathematics and computers in simulation 56 (2), 187-203, 2001
A topology-based approach to exploiting sparsity in multibody dynamics: joint formulation
D Negrut, R Serban, FA Potra
Journal of Structural Mechanics 25 (2), 221-241, 1997
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