Finally, an adjoint field method of data inversion, developed in parallel for solving the fully nonlinear inverse problem for electrical conductivity imaging (e.g., for mapping underground conducting plumes), uses this code to provide solvers for both forward and adjoint fields. Results obtained ...
Here are 17 public repositories matching this topic... Language:All Sort:Most stars fancompute/ceviche Star327 Code Issues Pull requests 🦐 Electromagnetic Simulation + Automatic Differentiation optimizationfdtdelectromagneticsinverse-problemsadjointfdfd ...
% Our main theorem bypasses the restrictive \emph{saddle point assumption} in existing differentiability theorems of minimax by introducing the notion of the \emph{averaged adjoint state}, thus extending the use of minimax theorems to some classes of non-linear state equations. As an illustration,...
We propose a novel technique to compute response gradients (Jacobians) from frequency-domain field solutions provided by high-frequency electromagnetic (EM) simulations. It is based on our recently developed self-adjoint sensitivity-analysis (SASA) approach where only one EM simulation suffices to ...
We consider a singular Sturm–Liouville differential expression with an indefinite weight function and we show that the corresponding self-adjoint differen... J Behrndt - 《Journal of Mathematical Analysis & Applications》 被引量: 60发表: 2007年 ...