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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… 
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Papers overview

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2016
2016
AbstractVelocity model building is one of the most difficult aspects of the seismic processing sequence. But it is also one of… 
2013
2013
There appeared not long ago a Reduction Formula for derived Hochschild cohomology, that has been useful e.g., in the study of… 
2013
2013
Many scientific problems, including those in physics, astrophysics, chemistry, and information processing, involve the solutions… 
2012
2012
A bstractWe present evidence that for each ADE Lie group G there is an infinite tower of 4D $ \mathcal{N} $ = 2 SCFTs, which we… 
Highly Cited
2009
Highly Cited
2009
Given a 4d N=2 SUSY gauge theory, one can construct the Seiberg-Witten prepotentional, which involves a sum over instantons… 
2008
2008
A C++ Class Supporting Adjoint-State Methods by Marco U. Enriquez The adjoint-state method is widely used for computing gradients… 
2003
2003
History matching, by nature, is an ill-posed inverse problem that can be computationaly intensive and practically infeasible for… 
2003
2003
Adaptive grids in inverse and control problems can lead to computed objective functions that are nonsmooth, even though the…