pyadjoint Project Banner
  • About
  • Documentation
  • Download
  • Citing
  • Support

Mathematical background: adjoints and their applications¶

Section author: Patrick E. Farrell <patrick.farrell@maths.ox.ac.uk>

Contacting the author¶

If you find this discussion useful, or have any comments on it, please send me an email!

Sections¶

  • Foreword
    • Why care about adjoints?
    • A note on the exposition
    • Notation
  • PDE-constrained optimisation
    • Problem statement
    • Solution approaches
  • Differentiating functionals
    • Finite differencing
    • The tangent linear approach
    • The adjoint approach
    • Summary
  • Properties of the adjoint equations
    • The adjoint reverses the propagation of information
      • A simple advection example
      • A time-dependent example
    • The adjoint equation is linear
      • Summary
  • Applications of adjoints
    • PDE-constrained optimisation
    • Sensitivity analysis
    • Data assimilation
    • Inverse problems
    • Generalised stability theory
    • Error estimation

Appendices¶

  • Generalised stability theory
    • Introduction
    • The singular value decomposition of the propagator
    • Computing the propagator
    • Singular value computation
© Copyright 2017-, Sebastian Mitusch and others. Created using Sphinx 8.1.3.