hippylib.github.io - hIPPYlib

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hIPPYlib implements state-of-the-art scalable adjoint-based algorithms for PDE-based deterministic and Bayesian inverse problems . It builds on FEniCS for the discretization of the PDE and on PETSc for scalable and efficient linear algebra operations and solvers.

Friendly, compact, near-mathematical FEniCS notation to express, differentiate, and discretize the PDE forward model and likelihood function

Large scale optimization algorithms, such as globalized inexact Newton-CG method, to solve the inverse problem

Links to hippylib.github.io (3)

• petsc.org PETSc 3.21 — PETSc 3.21.5 documentation
• g2s3-2018.github.io Home | 2018 Gene Golub SIAM Summer School by g2s3-2018
• g2s3.com Home | 2018 Gene Golub SIAM Summer School by g2s3-2018