R
Radu Serban
Researcher at University of Wisconsin-Madison
Publications - 88
Citations - 3965
Radu Serban is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Computer science & Multibody system. The author has an hindex of 19, co-authored 69 publications receiving 3339 citations. Previous affiliations of Radu Serban include University of Iowa & Lawrence Livermore National Laboratory.
Papers
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Journal ArticleDOI
SUNDIALS: Suite of nonlinear and differential/algebraic equation solvers
Alan C. Hindmarsh,Peter Brown,K. E. Grant,Steven L. Lee,Radu Serban,Dan E. Shumaker,Carol S. Woodward +6 more
TL;DR: The current capabilities of the codes, along with some of the algorithms and heuristics used to achieve efficiency and robustness, are described.
Journal ArticleDOI
Adjoint Sensitivity Analysis for Differential-Algebraic Equations: The Adjoint DAE System and Its Numerical Solution
TL;DR: An adjoint sensitivity method is presented for parameter-dependent differential-algebraic equation systems (DAEs) and it is shown for these systems that numerical stability is maintained for the adjoint system or for the augmented adjointed system.
Proceedings ArticleDOI
CVODES: The Sensitivity-Enabled ODE Solver in SUNDIALS
Radu Serban,Alan C. Hindmarsh +1 more
TL;DR: The current capabilities of CVODES, its design principles, and its user interface are described, and an example problem is provided to illustrate the performance ofCVODES.
Book ChapterDOI
Chrono: An Open Source Multi-physics Dynamics Engine
Alessandro Tasora,Radu Serban,Hammad Mazhar,Arman Pazouki,Daniel Melanz,Jonathan A. Fleischmann,Michael R. Taylor,Hioyuki Sugiyama,Dan Negrut +8 more
TL;DR: An overview of a multi-physics dynamics engine called Chrono, which has been recently augmented to support the modeling of fluid-solid interaction problems and linear and nonlinear finite element analysis (FEA).
Journal ArticleDOI
Sensitivity analysis of differential-algebraic equations and partial differential equations
TL;DR: In this article, the forward and adjoint methods for sensitivity analysis of differential-algebraic equation (DAE) and time-dependent partial differential equation (PDE) systems are described.