受强制性开放获取政策约束的文章 - William Hager了解详情
无法在其他位置公开访问的文章：2 篇
Mesh refinement method for optimal control problems with discontinuous control profiles
YM Agamawi, WW Hager, AV Rao
AIAA Guidance, Navigation, and Control Conference, 1506, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
Mesh-generation method for real-time optimal control using adaptive gaussian quadrature collocation
AV Rao, WW Hager
2018 AIAA Guidance, Navigation, and Control Conference, 0848, 2018
强制性开放获取政策： US National Science Foundation, US Department of Defense
可在其他位置公开访问的文章：32 篇
An overview of three pseudospectral methods for the numerical solution of optimal control problems
D Garg, M Patterson, W Hager, A Rao, DR Benson, GT Huntington
强制性开放获取政策： US National Science Foundation, US Department of Defense
Adaptive mesh refinement method for optimal control using decay rates of Legendre polynomial coefficients
F Liu, WW Hager, AV Rao
IEEE Transactions on Control Systems Technology 26 (4), 1475-1483, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
An efficient gradient method using the Yuan steplength
R De Asmundis, D Di Serafino, WW Hager, G Toraldo, H Zhang
Computational Optimization and Applications 59, 541-563, 2014
强制性开放获取政策： Government of Italy
An inexact accelerated stochastic ADMM for separable convex optimization
J Bai, WW Hager, H Zhang
Computational Optimization and Applications 81 (2), 479-518, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense, 国家自然科学基金委员会
Convergence rate for a Gauss collocation method applied to unconstrained optimal control
WW Hager, H Hou, AV Rao
Journal of Optimization Theory and Applications 169, 801-824, 2016
强制性开放获取政策： US National Science Foundation
Convergence rate for a Gauss collocation method applied to constrained optimal control
WW Hager, J Liu, S Mohapatra, AV Rao, XS Wang
SIAM Journal on Control and Optimization 56 (2), 1386-1411, 2018
强制性开放获取政策： US National Science Foundation, US Department of Defense
Convergence rate for a Radau hp collocation method applied to constrained optimal control
WW Hager, H Hou, S Mohapatra, AV Rao, XS Wang
Computational Optimization and Applications 74, 275-314, 2019
强制性开放获取政策： US National Science Foundation, US Department of Defense
A multilevel bilinear programming algorithm for the vertex separator problem
WW Hager, JT Hungerford, I Safro
Computational Optimization and Applications 69 (1), 189-223, 2018
强制性开放获取政策： US National Science Foundation, US Department of Defense
Lebesgue constants arising in a class of collocation methods
WW Hager, H Hou, AV Rao
IMA Journal of Numerical Analysis 37 (4), 1884-1901, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
An active set algorithm for nonlinear optimization with polyhedral constraints
WW Hager, H Zhang
Science China Mathematics 59, 1525-1542, 2016
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
Inexact alternating direction methods of multipliers for separable convex optimization
WW Hager, H Zhang
Computational Optimization and Applications 73, 201-235, 2019
强制性开放获取政策： US National Science Foundation, US Department of Defense
The switch point algorithm
M Aghaee, WW Hager
SIAM Journal on Control and Optimization 59 (4), 2570-2593, 2021
强制性开放获取政策： US National Science Foundation
Mesh refinement method for solving bang-bang optimal control problems using direct collocation
YM Agamawi, WW Hager, AV Rao
AIAA Scitech 2020 Forum, 0378, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense
An Convergence Rate for the Variable Stepsize Bregman Operator Splitting Algorithm
WW Hager, M Yashtini, H Zhang
SIAM Journal on Numerical Analysis 54 (3), 1535-1556, 2016
强制性开放获取政策： US National Science Foundation
Projection onto a polyhedron that exploits sparsity
WW Hager, H Zhang
SIAM Journal on Optimization 26 (3), 1773-1798, 2016
强制性开放获取政策： US National Science Foundation
Computational method for optimal guidance and control using adaptive Gaussian quadrature collocation
ME Dennis, WW Hager, AV Rao
Journal of Guidance, Control, and Dynamics 42 (9), 2026-2041, 2019
强制性开放获取政策： US National Science Foundation, US Department of Defense
Algorithm 1003: Mongoose, a graph coarsening and partitioning library
TA Davis, WW Hager, SP Kolodziej, SN Yeralan
ACM Transactions on Mathematical Software (TOMS) 46 (1), 1-18, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense
Convergence rates for an inexact ADMM applied to separable convex optimization
WW Hager, H Zhang
Computational Optimization and Applications 77 (3), 729-754, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense
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