## Computational Methods in Geophysical ElectromagneticsThis monograph provides a framework for students and practitioners who are working on the solution of electromagnetic imaging in geophysics. Bridging the gap between theory and practical applied material (for example, inverse and forward problems), it provides a simple explanation of finite volume discretization, basic concepts in solving inverse problems through optimization, a summary of applied electromagnetics methods, and MATLAB?÷code for efficient computation. |

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adjoint algorithm approximation assume average boundary conditions cell centers chapter choose complex components compute conductivity consider convergence CURL Debye model define delm derivatives diag differential equation differential operators dipole discuss the discretization divergence-free earth eigenvalues electric field electromagnetic estimate example experiment face variables Figure flux forward modeling forward problem Gauss–Newton method geophysical Grad gradient grid Helmholtz decomposition Hessian Iact implies inner product integral interpolation inverse problem iteration kron speye n3+1 line search linear system loop magnetic field magnetotelluric Maxwell’s equations mesh midpoint method misfit mref Msig nodes nonlinear null space obtain optimization problem param parameters preconditioner q c1 randn recz regularization sdiag sigma solution solvers sources and frequencies sources and receivers speye n1 sqiag steepest descent step stochastic stochastic gradient descent straightforward subspace techniques term vector weak form