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1 The adjoint method - Stanford Computer Science

PDE-constrained optimization and the adjoint method1 Andrew M. BradleyOctober 15, 2019 (original November 16, 2010)PDE-constrained optimization and the adjoint method for solving these and re-lated problems appear in a wide range of application domains. Often the adjointmethod is used in an application without explanation. The purpose of this tuto-rial is to explain the method in detail in a general setting that is kept as simpleas use the following notation: the total derivative (gradient) is denoted dx(usually denoted d( )/dxor x); the partial derivative, x(usually, ( )/ x); thedifferential, d.

2 PDE-constrained optimization problems Partial di erential equations are used to model physical processes. Optimiza-tion over a PDE arises in at least two broad contexts: determining parameters of a PDE-based model so that the eld values match observations (an inverse problem); and design optimization: for example, of an airplane wing.

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