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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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Related topics

Related topics

8 relations
Constraint (mathematics)GradientHilbert spaceLandweber iteration

Broader (1)

Numerical analysis

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
An offshore Gabon full-waveform inversion case study
AbstractVelocity model building is one of the most difficult aspects of the seismic processing sequence. But it is also one of… 
2013
2013
Adjoint associativity: an invitation to algebra in infinity-categories
There appeared not long ago a Reduction Formula for derived Hochschild cohomology, that has been useful e.g., in the study of… 
2013
2013
Using Advanced Matrix Operator (AMOM) in Community Radiative Transfer Model
Many scientific problems, including those in physics, astrophysics, chemistry, and information processing, involve the solutions… 
2012
2012
Infinitely many $ \mathcal{N} $ = 2 SCFT with ADE flavor symmetry
A bstractWe present evidence that for each ADE Lie group G there is an infinite tower of 4D $ \mathcal{N} $ = 2 SCFTs, which we… 
2011
2011
Interlocked optimization and fast gradient algorithm for a seismic inverse problem
Highly Cited
2009
Highly Cited
2009
Non-conformal limit of AGT relation from the 1-point torus conformal block
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
A C++ Class Supporting Adjoint-State Methods by Marco U. Enriquez The adjoint-state method is widely used for computing gradients… 
2006
2006
A new adaptive remeshing scheme based on the sensitivity analysis of the SPR point wise error estimation
2003
2003
In Search of an Optimal Parameterization : An Innovative Approach to Reservoir Data Integration
History matching, by nature, is an ill-posed inverse problem that can be computationaly intensive and practically infeasible for… 
2003
2003
Adaptive Simulation, the Adjoint State Method, and Optimization
Adaptive grids in inverse and control problems can lead to computed objective functions that are nonsmooth, even though the… 
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