13 citations · 22 across the 6 of their papers we have counts for
6 papers
A Portable and Versatile Limited-Memory BFGS Implementation in PETSc/TAO
Hansol Suh, Tobin Isaac, Alp Dener +3
The limited-memory BFGS (L-BFGS) Hessian update scheme is the critical kernel in many quasi-Newton optimization algorithms. The most common approach to implementing L-BFGS uses $2m…
Multirate Partitioned Runge-Kutta Methods for Coupled Navier-Stokes Equations
Shinhoo Kang, Alp Dener, Aidan Hamilton +3
Earth system models are complex integrated models of atmosphere, ocean, sea ice, and land surface. Coupling the components can be a significant challenge due to the difference in p…
Toward Performance-Portable PETSc for GPU-based Exascale Systems
Richard Tran Mills, Mark F. Adams, Satish Balay +11
The Portable Extensible Toolkit for Scientific computation (PETSc) library delivers scalable solvers for nonlinear time-dependent differential and algebraic equations and for numer…
Training neural networks under physical constraints using a stochastic augmented Lagrangian approach
Alp Dener, Marco Andres Miller, Randy Michael Churchill +2
We investigate the physics-constrained training of an encoder-decoder neural network for approximating the Fokker-Planck-Landau collision operator in the 5-dimensional kinetic fusi…
Encoder-decoder neural network for solving the nonlinear Fokker-Planck-Landau collision operator in XGC
M. A. Miller, R. M. Churchill, A. Dener +3
An encoder-decoder neural network has been used to examine the possibility for acceleration of a partial integro-differential equation, the Fokker-Planck-Landau collision operator.…
Error-tolerant Multisecant Method for Nonlinearly Constrained Optimization
Jason E. Hicken, Pengfei Meng, Alp Dener
We present a derivative-based algorithm for nonlinearly constrained optimization problems that is tolerant of inaccuracies in the data. The algorithm solves a semi-smooth set of no…