Adjoint equation

An adjoint equation is a linear differential equation, usually derived from its primal equation using integration by parts. Gradient values with respect to a particular quantity of interest can be efficiently calculated by solving the adjoint equation. Methods based on solution of adjoint equations are used in wing shape optimization, fluid flow control and uncertainty quantification. For example $dX_t = a(X_t)dt + b(X_t)dW$ this is an Itō stochastic differential equation. Now by using Euler scheme, we integrate the parts of this equation and get another equation, $X_{n+1} = X_n + a \Delta t + \zeta b \sqrt{\Delta t}$ , here $\zeta$ is a random variable, later one is an adjoint equation.

单词	Adjoint equation
释义	Adjoint equation 英语百科 Adjoint equation An adjoint equation is a linear differential equation, usually derived from its primal equation using integration by parts. Gradient values with respect to a particular quantity of interest can be efficiently calculated by solving the adjoint equation. Methods based on solution of adjoint equations are used in wing shape optimization, fluid flow control and uncertainty quantification. For example $dX_t = a(X_t)dt + b(X_t)dW$ this is an Itō stochastic differential equation. Now by using Euler scheme, we integrate the parts of this equation and get another equation, $X_{n+1} = X_n + a \Delta t + \zeta b \sqrt{\Delta t}$ , here $\zeta$ is a random variable, later one is an adjoint equation.
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