Results 11 to 20 of about 343,728 (300)
Quantum Beam Science, 2020 A computational method in the modelling of neutron beams is described that blends neutron acceptance diagrams, GPU-based Monte-Carlo sampling, and a Bayesian approach to efficiency.
Phillip Bentley
doaj +1 more source
Multifunctional 25D metastructures enabled by adjoint optimization
Optica, 2020 Optical metasurfaces are two-dimensional arrays of meta-atoms that modify different characteristics of light such as phase, amplitude, and polarization.
M. Mansouree +5 more
semanticscholar +1 more source
Solute Transport Control at Channel Junctions Using Adjoint Sensitivity
Mathematics, 2021 Water quality control and the control of contaminant spill in water in particular are becoming a primary need today. Gradient descent sensitivity methods based on the adjoint formulation have proved to be encouraging techniques in this context for river ...
Geovanny Gordillo +2 more
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Aerospace, 2023 Based on the adjoint method, the afterbody of a military transport aircraft was optimized and designed to meet engineering constraints under real flight conditions.
Hanyue Rao +4 more
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Adjoints, multi-adjoints, pluri-adjoints
Bulletin of the Belgian Mathematical Society - Simon Stevin, 1995 Let \((G_p: {\mathcal A}_p\to {\mathcal X})_{p\in P}\) be a small family of functors having left adjoints, between small categories. If \({\mathcal A}\) is the coproduct of \(({\mathcal A}_p )_{p\in P}\) in \({\mathcal C}at\), the functor \(G: {\mathcal A}\to {\mathcal X}\) defined by \((G_p )_{p\in P}\) is proved to have a left multiadjoint in the ...
Solian, Alexandru, Viswanathan, T. M.
openaire +3 more sources
Discrete adjoint approximations with shocks [PDF]
, 2002 This paper is concerned with the formulation and discretisation of adjoint equations when there are shocks in the underlying solution to the original nonlinear hyperbolic p.d.e. For the model problem of a scalar unsteady one-dimensional p.d.e.
DR Lindquist +5 more
core +4 more sources
Adjoint-Based Multi-Point and Multi-Objective Optimization of a Turbocharger Radial Turbine
International Journal of Turbomachinery, Propulsion and Power, 2019 This paper presents a gradient-based design optimization of a turbocharger radial turbine for automotive applications. The aim is to improve both the total-to-static efficiency and the moment of inertia of the turbine wheel.
Lasse Mueller, Tom Verstraete
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DAFoam: An Open-Source Adjoint Framework for Multidisciplinary Design Optimization with OpenFOAM
, 2020 The adjoint method is an efficient approach for computing derivatives that allow gradient-based optimization to handle systems parameterized with a large number of design variables.
P. He, C. Mader, J. Martins, K. Maki
semanticscholar +1 more source
Frontiers in Sustainable Cities, 2023 As the world becomes increasingly urbanized, growing populations are exposed to poor ambient air quality and at risk of the associated health outcomes. Urban air quality is affected both by local sources of air pollution and sources outside city borders.
M. Omar Nawaz +6 more
doaj +1 more source
Analytic Adjoint Solutions for the Quasi-1D Euler Equations [PDF]
, 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