Automated Calculation of Higher Order Partial Differential Equation Constrained Derivative Information

DOI10.1137/18M1209465WikidataQ115246928 ScholiaQ115246928MaRDI QIDQ5194601

Benjamin D. Goddard, Daniel N. Goldberg, James R. Maddison

Publication date: 16 September 2019

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

zbMATH Keywords

adjointcode generationFEniCStangent-linearsecond order adjoint

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Other programming paradigms (object-oriented, sequential, concurrent, automatic, etc.) (68N19) Theory of compilers and interpreters (68N20) Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs (65M60) Numerical methods for inverse problems for initial value and initial-boundary value problems involving PDEs (65M32)

Related Items

Tensor Train Construction From Tensor Actions, With Application to Compression of Large High Order Derivative Tensors

Uses Software

• BoomerAMG
• Gmsh
• hypre
• revolve
• SLEPc
• UMFPACK
• ADIFOR
• PETSc
• FEniCS
• mpi4py
• SyFi
• TAPENADE
• TAF
• dcc
• OpenAD/F
• UFL
• Rapsodia
• Python
• Firedrake
• petsc4py

Cites Work

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