Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Holtorf, Flemming"'
Autor:
Holtorf, Flemming
Stochastic processes have captivated scientific interest by balancing conceptual simplicity with the ability to model complex, poorly understood, or even entirely unknown phenomena. Still, the deployment of stochastic process models remains challengi
In a physical system, changing parameters such as temperature can induce a phase transition: an abrupt change from one state of matter to another. Analogous phenomena have recently been observed in large language models. Typically, the task of identi
Externí odkaz:
http://arxiv.org/abs/2405.17088
Autor:
Pal, Avik, Holtorf, Flemming, Larsson, Axel, Loman, Torkel, Utkarsh, Schäefer, Frank, Qu, Qingyu, Edelman, Alan, Rackauckas, Chris
Efficiently solving nonlinear equations underpins numerous scientific and engineering disciplines, yet scaling these solutions for complex system models remains a challenge. This paper presents NonlinearSolve.jl - a suite of high-performance open-sou
Externí odkaz:
http://arxiv.org/abs/2403.16341
Despite the widespread use and success of machine-learning techniques for detecting phase transitions from data, their working principle and fundamental limits remain elusive. Here, we explain the inner workings and identify potential failure modes o
Externí odkaz:
http://arxiv.org/abs/2311.10710
Quantum feedback controllers often lack performance targets and optimality certificates. We combine quantum filtering theory and moment-sum-of-squares techniques to construct a hierarchy of convex optimization problems that furnish monotonically impr
Externí odkaz:
http://arxiv.org/abs/2304.03366
Viewing stochastic processes through the lens of occupation measures has proved to be a powerful angle of attack for the theoretical and computational analysis of a wide range of stochastic optimal control problems. We present a simple modification o
Externí odkaz:
http://arxiv.org/abs/2211.15652
Autor:
Holtorf, Flemming, Barton, Paul I.
The use of approximate solution techniques for the Chemical Master Equation is common practice for the analysis of stochastic chemical systems. Despite their widespread use, however, many such techniques rely on unverifiable assumptions and only few
Externí odkaz:
http://arxiv.org/abs/2104.01309
Autor:
Subramanian, Avinash S.R., Kannan, Rohit, Holtorf, Flemming, Adams, Thomas A., II, Gundersen, Truls, Barton, Paul I.
Publikováno v:
In Energy 1 December 2023 284
Autor:
Holtorf, Flemming, Green, William H.
Publikováno v:
Journal of Chemical Physics; 10/14/2023, Vol. 159 Issue 14, p1-15, 15p
Publikováno v:
IEEE Transactions on Automatic Control; November 2024, Vol. 69 Issue: 11 p8057-8063, 7p