Parallel Lagrange-newton-krylov-schur Methods for Pde-constrained Optimization Part I: the Kkt Preconditioner

@inproceedings{Biros2000ParallelLM,
  title={Parallel Lagrange-newton-krylov-schur Methods for Pde-constrained Optimization Part I: the Kkt Preconditioner},
  author={George Biros and Omar Ghattas},
  year={2000}
}
1. Introduction. Optimization problems that are constrained by partial differential equations (PDEs) arise naturally in many areas of science and engineering. In the sciences, such problems often appear as inverse problems in which some of the parameters in a simulation are unavailable, and must be estimated by comparison with physical data. These parameters are typically boundary conditions, initial conditions, sources, or coefficients of a PDE. Examples include empirically-determined… CONTINUE READING
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