Skip to search formSkip to main contentSkip to account menu

Adjoint state method

The adjoint state method is a numerical method for efficiently computing the gradient of a function or operator in a numerical optimization problem… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
We examine the effective low-energy theory of the adjoint sector of Dirac gaugino models and its UV completions, and identify the… 
2013
2013
There appeared not long ago a Reduction Formula for derived Hochschild cohomology, that has been useful e.g., in the study of… 
2012
2012
This paper presents recent developments related to an adjoint RANS solver, which is part of the TRACE flow solver developed at… 
2012
2012
In this work we examined the discretised form of Boltzmann-like transport, i.e. the neutron trans- port equation and the… 
2010
2010
The SU(5) GUT model extended with fermions in the adjoint 24F representation predicts triplet fermions in the 100 GeV mass range… 
2010
2010
In this paper we examine triggering in a simple linearly-stable thermoacoustic system using techniques from flow instability and… 
2008
2008
A C++ Class Supporting Adjoint-State Methods by Marco U. Enriquez The adjoint-state method is widely used for computing gradients… 
2005
2005
Singular values and vectors of Hankel operator for the non-linear system on finite time interval are considered. Three ways of… 
2003
2003
History matching, by nature, is an ill-posed inverse problem that can be computationaly intensive and practically infeasible for…