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The discrete adjoint: built into the solvers, driven from the run transcript
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The discrete adjoint: built into the solvers, driven from the run transcript
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feat: the discrete adjoint — in the solvers, and over the run transcript
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feat: a misfit read through a gradient, and the fault-segments example
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The fault-segments example is listric: a flat decollement, a circular ramp, four strengths
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Friction on the listric fault: a Coulomb yield on the plane, one coefficient per segment
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fault_friction: keep the cohesion where the pressure is tensile; a flat colour for the bulk in the figure
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fault_friction: an observations switch — uplift+stress, principal-stress orientation, or orientation along the surface only
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fault_friction: convergence of the three observation sets side by side
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fault_friction: PyVista renders of the true state on the mesh's own triangulation
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The fault example records itself; adjoint solves are operators in every transcript view
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adjoint_solve transposes the matrices and solves forwards with the solver's own KSP
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sensitivity: leave numeric constants as named expressions when peeling, so the kernel is not recompiled per value
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plot_convergence: read the per-observation data files
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The adjoint operator is assembled from the transposed pointwise kernels
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solver.gradient(misfit, parameters, fields): the steady adjoint as one call, and the adjoint problem in writing
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A misfit on a boundary, and a parameter that enters through one
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A misfit with terms on several domains; the fault example's surface terms are boundary integrals
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fault_friction: the optimiser sees the misfit relative to its starting value
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fault_friction: orientation is an interior observable; the surface gives the strain rate
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Commits on Sep 18, 2026
uw.adjoint.minimise: PETSc TAO as the inversion driver
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fault_friction: scipy stays the default driver, since the note's figures come from it; tao is the switch
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fault_friction: noise on the observations, a Tikhonov term, and bounds for TAO's blmvm
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fault_friction: the objective is a negative log posterior, with the prior given by its width
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fault_friction: the example as a notebook, in kilometres, with the run header in the declared units
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adjoint: a parameter in a Dirichlet datum gets its reaction term
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adjoint: the datum term through the transcript driver, and a refusal for data on other fields
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