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John Lygeros

Showing results (1-10 of 19) with videos related to

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Optimization Letters|November 1, 2021
On the asymptotic behavior of the Douglas-Rachford and proximal-point algorithms for convex optimizationGoran Banjac, John Lygeros
The Journal of Chemical Physics|May 17, 2013
Steady-state simulation of metastable stochastic chemical systemsAndreas Milias-Argeitis, John Lygeros
Journal of Biological Dynamics|August 14, 2012
Stochastic hybrid delay population dynamics: well-posed models and extinctionChenggui Yuan, Xuerong Mao, John Lygeros
Journal of the Royal Society, Interface|August 30, 2013
Designing experiments to understand the variability in biochemical reaction networksJakob Ruess, Andreas Milias-Argeitis, John Lygeros
The Journal of Chemical Physics|July 17, 2014
Fast variance reduction for steady-state simulation and sensitivity analysis of stochastic chemical systems using shadow function estimatorsAndreas Milias-Argeitis, John Lygeros, Mustafa Khammash
Bioinformatics (Oxford, England)|March 23, 2010
Identification of genetic network dynamics with unate structureRiccardo Porreca, Eugenio Cinquemani, John Lygeros, et al.
Frontiers in Immunology|April 20, 2019
A Probabilistic Model of the Germinal Center ReactionMarcel Jan Thomas, Ulf Klein, John Lygeros, et al.
Bioinformatics (Oxford, England)|October 11, 2008
Stochastic dynamics of genetic networks: modelling and parameter identificationEugenio Cinquemani, Andreas Milias-Argeitis, Sean Summers, et al.
Nanotechnology|February 24, 2011
Impulsive control for fast nanopositioningTomas Tuma, Abu Sebastian, Walter Häberle, et al.
Nanotechnology|April 21, 2012
High-speed multiresolution scanning probe microscopy based on Lissajous scan trajectoriesTomas Tuma, John Lygeros, V Kartik, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Optimization Letters|November 1, 2021
On the asymptotic behavior of the Douglas-Rachford and proximal-point algorithms for convex optimizationGoran Banjac, John Lygeros
The Journal of Chemical Physics|May 17, 2013
Steady-state simulation of metastable stochastic chemical systemsAndreas Milias-Argeitis, John Lygeros
Journal of Biological Dynamics|August 14, 2012
Stochastic hybrid delay population dynamics: well-posed models and extinctionChenggui Yuan, Xuerong Mao, John Lygeros
Journal of the Royal Society, Interface|August 30, 2013
Designing experiments to understand the variability in biochemical reaction networksJakob Ruess, Andreas Milias-Argeitis, John Lygeros
The Journal of Chemical Physics|July 17, 2014
Fast variance reduction for steady-state simulation and sensitivity analysis of stochastic chemical systems using shadow function estimatorsAndreas Milias-Argeitis, John Lygeros, Mustafa Khammash
Bioinformatics (Oxford, England)|March 23, 2010
Identification of genetic network dynamics with unate structureRiccardo Porreca, Eugenio Cinquemani, John Lygeros, et al.
Frontiers in Immunology|April 20, 2019
A Probabilistic Model of the Germinal Center ReactionMarcel Jan Thomas, Ulf Klein, John Lygeros, et al.
Bioinformatics (Oxford, England)|October 11, 2008
Stochastic dynamics of genetic networks: modelling and parameter identificationEugenio Cinquemani, Andreas Milias-Argeitis, Sean Summers, et al.
Nanotechnology|February 24, 2011
Impulsive control for fast nanopositioningTomas Tuma, Abu Sebastian, Walter Häberle, et al.
Nanotechnology|April 21, 2012
High-speed multiresolution scanning probe microscopy based on Lissajous scan trajectoriesTomas Tuma, John Lygeros, V Kartik, et al.
Pageof 2