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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… Expand
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Papers overview

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2012
2012
This paper presents the adjoint-based sensitivity equation and the adjoint buoyancydriven, steady-state Navier-Stokes-Fourier… Expand
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2010
2010
Adjoint state method is a well-known method to efficiently compute the gradient of a cost or objective function for a simulation… Expand
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Highly Cited
2009
Highly Cited
2009
Classical algorithms used for traveltime tomography are not necessarily well suited for handling very large seismic data sets or… Expand
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Highly Cited
2004
Highly Cited
2004
[1] As the incidence of groundwater contamination continues to grow, a number of inverse modeling methods have been developed to… Expand
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2003
2003
We compare the matrix model and integrable system approaches to calculating the exact vacuum structure of general = 1… Expand
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2002
2002
Combination of object-oriented programming with automatic differentiation techniques facilitates the solution of data fitting… Expand
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Highly Cited
2001
Highly Cited
2001
This paper gives a general treatment and proof of the direct conservation law method presented in Part I (see Anco & Bluman [3… Expand
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2000
2000
Abstract Including tracer data into geostatistically based methods of inverse modeling is computationally very costly when all… Expand
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2000
2000
We use general results on tractor calculi for parabolic geometries that we obtained in a previous article to give a simple and… Expand
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Highly Cited
1997
Highly Cited
1997
The first half of this paper derives the adjoint equations for inviscid and viscous compressible flow, with the emphasis being on… Expand
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