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… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

1994-2017
0519942017

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
An optimal estimation method for state and distributed parameters in 1-D hyperbolic system based on adjoint method is proposed in… (More)
  • figure 1
  • figure 2
  • table A.2
Is this relevant?
2014
2014
S U M M A R Y We propose a level-set adjoint-state method for crosswell traveltime tomography using both first-arrival… (More)
  • figure 1
  • figure 3
  • figure 2
  • figure 4
  • figure 5
Is this relevant?
2011
2011
Waveform inversion is a velocity model building technique based on full seismograms as the input and seismic wavefields as the… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2010
2010
Adjoint state method is a well-known method to efficiently compute the gradient of a cost or objective function for a simulation… (More)
  • figure 1
  • table 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
2009
2009
Variational methods are widely used for the analysis and control of computationally intensive spatially distributed systems. In… (More)
  • table 1
  • figure 1
  • figure 2
  • figure 3
  • table 2
Is this relevant?
2007
2007
The adjoint-state method is widely used for computing gradients in simulation-driven optimization problems. The adjoint-state… (More)
Is this relevant?
2006
2006
Traditional transmission travel-time tomography hinges on ray tracing techniques. We propose a PDE-based Eulerian approach to… (More)
Is this relevant?
2004
2004
[1] As the incidence of groundwater contamination continues to grow, a number of inverse modeling methods have been developed to… (More)
  • table 1
  • table 2
  • figure 2
  • figure 1
  • table 3
Is this relevant?
2002
2002
Combination of object-oriented programming with automatic differentiation techniques facilitates the solution of data fitting… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • table I
Is this relevant?
2000
2000
Including tracer data into geostatistically based methods of inverse modeling is computationally very costly when all… (More)
  • table 1
  • figure 1
  • figure 2
  • figure 5
  • figure 3
Is this relevant?