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most citedConvergence rate for a Gauss collocation method applied to constrained optimal control

27 citations · 62 across the 20 of their papers we have counts for

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math.NA2022

Optimized sparse approximate inverse smoothers for solving Laplacian linear systems

Yunhui He, Jun Liu, Xiang-Sheng Wang

In this paper we propose and analyze new efficient sparse approximate inverse (SPAI) smoothers for solving the two-dimensional (2D) and three-dimensional (3D) Laplacian linear syst…

math.NA2022

A Direct Parallel-in-Time Quasi-Boundary Value Method for Inverse Space-Dependent Source Problems

Yi Jiang, Jun Liu, Xiang-Sheng Wang

Inverse source problems arise often in real-world applications, such as localizing unknown groundwater contaminant sources. Being different from Tikhonov regularization, the quasi-…

math.NA2021

A well-conditioned direct PinT algorithm for first-and second-order evolutionary equations

Jun Liu, Xiang-Sheng Wang, Shu-Lin Wu +1

In this paper, we propose a direct parallel-in-time (PinT) algorithm for time-dependent problems with first- or second-order derivative. We use a second-order boundary value method…

math.NA2016★ 27 cited

Convergence rate for a Gauss collocation method applied to constrained optimal control

William W. Hager, Jun Liu, Subhashree Mohapatra +2

A local convergence rate is established for a Gauss orthogonal collocation method applied to optimal control problems with control constraints. If the Hamiltonian possesses a stron…

math.NA2016★ 27 cited

Convergence Rate for a Radau hp Collocation Method Applied to Constrained Optimal Control

William W. Hager, Hongyan Hou, Subhashree Mohapatra +1

For unconstrained control problems, a local convergence rate is established for an -method based on collocation at the Radau quadrature points in each mesh interval of the disc…