Peter R. Kramer

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2022 J jnl
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference.
J. Sci. Comput.
Elizabeth Qian, Jemima M. Tabeart, Christopher Beattie, Serkan Gugercin, Jiahua Jiang, Peter R. Kramer, Akil Narayan
2021 J jnl
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference.
CoRR
Elizabeth Qian, Jemima M. Tabeart, Christopher Beattie, Serkan Gugercin, Jiahua Jiang, Peter R. Kramer, Akil Narayan
2014 J jnl
Numerical methods for computing effective transport properties of flashing Brownian motors.
J. Comput. Phys.
Juan C. Latorre, Peter R. Kramer, Grigorios A. Pavliotis
2013 J jnl
Randomized Spectral and Fourier-Wavelet Methods for multidimensional Gaussian random vector fields.
J. Comput. Phys.
Orazgeldy Kurbanmuradov, Karl Sabelfeld, Peter R. Kramer
2008 J jnl
Error analysis of a stochastic immersed boundary method incorporating thermal fluctuations.
Math. Comput. Simul.
Paul J. Atzberger, Peter R. Kramer
2007 J jnl
A stochastic immersed boundary method for fluid-structure dynamics at microscopic length scales.
J. Comput. Phys.
Paul J. Atzberger, Peter R. Kramer, Charles S. Peskin
2007 J jnl
Comparative analysis of multiscale Gaussian random field simulation algorithms.
J. Comput. Phys.
Peter R. Kramer, Orazgeldy Kurbanmuradov, Karl Sabelfeld
2004 J jnl
Stochastic Mode Reduction for Particle-Based Simulation Methods for Complex Microfluid Systems.
SIAM J. Appl. Math.
Andrew J. Majda, Peter R. Kramer
2004 J jnl
Stochastic Mode Reduction for the Immersed Boundary Method.
SIAM J. Appl. Math.
Andrew J. Majda, Peter R. Kramer
2004 J jnl
Subdiffusion and Superdiffusion in Lagrangian Stochastic Models of Oceanic Transport.
Monte Carlo Methods Appl.
Emilio Castronovo, Peter R. Kramer
2001 J jnl
A Review of Some Monte Carlo Simulation Methods for Turbulent Systems.
Monte Carlo Methods Appl.
Peter R. Kramer