Optimal control of viscous Burgers equation via an adaptive nonmonotone Barzilai–Borwein gradient method

ABSTRACT

An adaptive nonmonotone spectral gradient method for the solution of distributed optimal control problem (OCP) for the viscous Burgers equation is presented in a black-box framework. Regarding the implicit function theorem, the OCP is transformed into an unconstrained nonlinear optimization problem (UNOP). For solving UNOP, an adaptive nonmonotone Barzilai–Borwein gradient method is proposed in which to make a globalization strategy, first an adaptive nonmonotone strategy which properly controls the degree of nonmonotonicity is presented and then is incorporated into an inexact line search approach to construct a more relaxed line search procedure. Also an adjoint technique is used to effectively evaluate the gradient. The low memory requirement and the guaranteed convergence property make the proposed method quite useful for large-scale OCPs. The efficiency of the presented method is supported by numerical experiments.

KEYWORDS:

• Distributed optimal control
• viscous Burgers equation
• finite elements method
• implicit function theorem
• nonmonotone Barzilai–Borwein method

2010 AMS SUBJECT CLASSIFICATIONS:

• 65K10
• 90C30

Disclosure statement

No potential conflict of interest was reported by the authors.