Keywords

#adjoint_state_method

Adjoint state method

Numerical method

The adjoint state method is a numerical method for efficiently computing the gradient of a function or operator in a numerical optimization problem. It has applications in geophysics, seismic imaging, photonics and more recently in neural networks.

Tue 27th

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Adjoint state method Adjoint equation Adjoint functors Backpropagation Inverse problem Self-adjoint operator Shape optimization List of numerical analysis topics Biconjugate gradient method Observable
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