11 citations · 31 across the 8 of their papers we have counts for
Showing math.OCShow all
2 papers · 1 filter
math.OC2023★ 2 cited
AONN-2: An adjoint-oriented neural network method for PDE-constrained shape optimization
Xili Wang, Pengfei Yin, Bo Zhang +1
Shape optimization has been playing an important role in a large variety of engineering applications. Existing shape optimization methods are generally mesh-dependent and therefore…
math.OC2023
AONN: An adjoint-oriented neural network method for all-at-once solutions of parametric optimal control problems
Pengfei Yin, Guangqiang Xiao, Kejun Tang +1
Parametric optimal control problems governed by partial differential equations (PDEs) are widely found in scientific and engineering applications. Traditional grid-based numerical…