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On the Adjoint of a Strongly Continuous Semigroup [PDF]

open access: yesAbstract and Applied Analysis, 2008
Using some techniques from vector integration, we prove the weak measurability of the adjoint of strongly continuous semigroups which factor through Banach spaces without isomorphic copy of l1; we also prove the strong continuity away from zero of the ...
Diómedes Bárcenas   +1 more
doaj   +3 more sources

Continuous energy adjoint transport for photons in PHITS [PDF]

open access: yesEPJ Web of Conferences, 2017
Adjoint Monte Carlo can be an effcient algorithm for solving photon transport problems where the size of the tally is relatively small compared to the source. Such problems are typical in environmental radioactivity calculations, where natural or fallout
Malins Alex   +2 more
doaj   +2 more sources

Continuous and Discrete Adjoints to the Euler Equations for Fluids [PDF]

open access: yesInternational Journal for Numerical Methods in Fluids, 2011
Adjoints are used in optimization to speed-up computations, simplify optimality conditions or compute sensitivities. Because time is reversed in adjoint equations with first order time derivatives, boundary conditions and transmission conditions through ...
Alauzet, Frederic, Pironneau, Olivier
core   +2 more sources

Continuous adjoint complement to the Blasius equation [PDF]

open access: yesPhysics of Fluids, 2021
This manuscript is concerned with a continuous adjoint complement to two-dimensional, incompressible, first-order boundary-layer equations for a flat plate boundary layer. The text is structured into three parts. The first part demonstrates that the adjoint complement can be derived in two ways, following either a first simplify then derive or a first ...
Niklas Kühl   +2 more
openaire   +2 more sources

RANS turbulence treatment for continuous adjoint optimization [PDF]

open access: yesProceeding of THMT-15. Proceedings of the Eighth International Symposium On Turbulence Heat and Mass Transfer, 2015
This paper discusses the implementational aspects related to the turbulence modelling for continuous adjoint optimization. The starting point is the derivation of equations of the high-Reynolds number k- model of turbulence in the framework of continuous adjoint optimization.
Mirza Popovac   +3 more
  +5 more sources

Continuity is an Adjoint Functor [PDF]

open access: yesThe American Mathematical Monthly, 2015
To appear in the American Mathematical ...
openaire   +3 more sources

Continuous Adjoint Method for Unstructured Grids [PDF]

open access: yesAIAA Journal, 2008
Adjoint-based shape optimization methods have proven to be computationally efficient for aerodynamic problems. The majority of the studies on adjoint methods have used structured grids to discretize the computational domain. Because of the potential advantages of unstructured grids for complex configurations, in this study we have developed and ...
Antony Jameson   +2 more
openaire   +1 more source

A Continuous Adjoint Approach For Vehicle Interior Noise Reduction [PDF]

open access: yesECCOMAS, 2016
In this paper the continuous adjoint method is developed for a vibroacoustic model that predicts the interior noise of a vehicle induced by the airflow. The model simulates the front side window vibration, excited by the acoustic and hydrodynamic pressure load, and the resulting sound wave propagation into the cabin. Targeting interior noise reduction,
Kapellos, Christos, Hartmann, Michael
openaire   +2 more sources

Analytic Adjoint Solutions for the Quasi-1D Euler Equations [PDF]

open access: yes, 2000
The analytic properties of adjoint solutions are examined for the quasi-1D Euler equations. For shocked flow, the derivation of the adjoint problem reveals that the adjoint variables are continuous with zero gradient at the shock, and that an internal ...
Giles, M. B., Pierce, Niles A.
core   +2 more sources

Derivation of the Adjoint Drift Flux Equations for Multiphase Flow

open access: yesFluids, 2020
The continuous adjoint approach is a technique for calculating the sensitivity of a flow to changes in input parameters, most commonly changes of geometry.
Shenan Grossberg   +2 more
doaj   +1 more source

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