Peter R. Kramer - researchr alias

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Viewing Publication 1 - 10 from 10

2022

Model Reduction of Linear Dynamical Systems via Balancing for Bayesian InferenceElizabeth Qian, Jemima M. Tabeart, Christopher Beattie, Serkan Gugercin, Jiahua Jiang, Peter R. Kramer, Akil Narayan 0001. jscic, 91(1):29, 2022. [doi]

2014

Numerical methods for computing effective transport properties of flashing Brownian motorsJuan C. Latorre, Peter R. Kramer, Grigorios A. Pavliotis. jcphy, 257:57-82, 2014. [doi]

2013

Randomized Spectral and Fourier-Wavelet Methods for multidimensional Gaussian random vector fieldsOrazgeldy Kurbanmuradov, Karl Sabelfeld, Peter R. Kramer. jcphy, 245:218-234, 2013. [doi]

2008

Error analysis of a stochastic immersed boundary method incorporating thermal fluctuationsPaul J. Atzberger, Peter R. Kramer. mcs, 79(3):379-408, 2008. [doi]

2007

A stochastic immersed boundary method for fluid-structure dynamics at microscopic length scalesPaul J. Atzberger, Peter R. Kramer, Charles S. Peskin. jcphy, 224(2):1255-1292, 2007. [doi]

Comparative analysis of multiscale Gaussian random field simulation algorithmsPeter R. Kramer, Orazgeldy Kurbanmuradov, Karl Sabelfeld. jcphy, 226(1):897-924, 2007. [doi]

2004

Subdiffusion and Superdiffusion in Lagrangian Stochastic Models of Oceanic TransportEmilio Castronovo, Peter R. Kramer. mcma, 10(3-4):245-256, 2004. [doi]

Stochastic Mode Reduction for the Immersed Boundary MethodAndrew J. Majda, Peter R. Kramer. siamam, 64(2):369-400, 2004. [doi]

Stochastic Mode Reduction for Particle-Based Simulation Methods for Complex Microfluid SystemsAndrew J. Majda, Peter R. Kramer. siamam, 64(2):401-422, 2004. [doi]

2001

A Review of Some Monte Carlo Simulation Methods for Turbulent SystemsPeter R. Kramer. mcma, 7(3-4):229-244, 2001. [doi]

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