E-LIB Suche - Ergebnisse für: Dong, Guozhi

1

Gradients of Acquisition Functions for Bi-objective Bayesia..:

, In: 2023 19th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD),

Yang, Kaifeng ; Liu, Sixuan ; Affenzeller, Michael. - p. 1-9 , 2023

Link: https://doi.org/10.1109/..

2

Second-order flows for computing the ground states of rotat..:

Chen, Haifan ; Dong, Guozhi ; Liu, Wei.
Journal of Computational Physics. 475 (2023) - p. 111872 , 2023

Link: https://doi.org/10.1016/..

3

Optimization with learning-informed differential equation c..:

Dong, Guozhi ; Hintermüller, Michael ; Papafitsoros, Kostas
ESAIM: Control, Optimisation and Calculus of Variations. 28 (2022) - p. 3 , 2022

Link: https://doi.org/10.1051/..

4

A parallel technique for multi-objective Bayesian global op..:

Yang, Kaifeng ; Affenzeller, Michael ; Dong, Guozhi
Swarm and Evolutionary Computation. 75 (2022) - p. 101183 , 2022

Link: https://doi.org/10.1016/..

5

Convergence Rates of First- and Higher-Order Dynamics for S..:

Boţ, Radu ; Dong, Guozhi ; Elbau, Peter.
Foundations of Computational Mathematics. 22 (2021) 5 - p. 1567-1629 , 2021

Link: https://doi.org/10.1007/..

6

A Class of Second-Order Geometric Quasilinear Hyperbolic PD..:

Dong, Guozhi ; Hintermueller, Michael ; Zhang, Ye
SIAM Journal on Imaging Sciences. 14 (2021) 2 - p. 645-688 , 2021

Link: https://doi.org/10.1137/..

7

Parametric Polynomial Preserving Recovery on Manifolds:

Dong, Guozhi ; Guo, Hailong
SIAM Journal on Scientific Computing. 42 (2020) 3 - p. A1885-A1912 , 2020

Link: https://doi.org/10.1137/..

8

Quantitative Magnetic Resonance Imaging: From Fingerprintin..:

Dong, Guozhi ; Hintermüller, Michael ; Papafitsoros, Kostas
SIAM Journal on Imaging Sciences. 12 (2019) 2 - p. 927-971 , 2019

Link: https://doi.org/10.1137/..

9

Efficiency analysis of European Freight Villages: three pee..:

Yang, Congcong ; Taudes, Alfred ; Dong, Guozhi
Central European Journal of Operations Research. 25 (2015) 1 - p. 91-122 , 2015

Link: https://doi.org/10.1007/..

10

A descent algorithm for the optimal control of ReLU neural ..:

Dong, Guozhi ; Hintermüller, Michael ; Papafitsoros, Kostas
http://arxiv.org/abs/2210.07900. , 2022

Link: http://arxiv.org/abs/221..

11

First-order conditions for the optimal control of learning-..:

Dong, Guozhi ; Hintermüller, Michael ; Papafitsoros, Kostas.
Preprint -- 2198-5855 -- 2209274-2. , 2022

Link: https://archive.wias-ber..

12

Optimization with learning-informed differential equation c..:

Dong, Guozhi ; Hintermüller, Michael ; Papafitsoros, Kostas
ESSN:1262-3377. , 2022

Link: https://oa.tib.eu/renate..

13

First-order conditions for the optimal control of learning-..:

Dong, Guozhi ; Hintermüller, Michael ; Papafitsoros, Kostas.
ISSN:2198-5855. , 2022

Link: https://oa.tib.eu/renate..

14

Second-order flows for computing the ground states of rotat..:

Chen, Haifan ; Dong, Guozhi ; Liu, Wei.
http://arxiv.org/abs/2205.00805. , 2022

Link: http://arxiv.org/abs/220..

15

A Parallel Technique for Multi-objective Bayesian Global Op..:

Yang, Kaifeng ; Dong, Guozhi ; Affenzeller, Michael
http://arxiv.org/abs/2208.03685. , 2022

Link: http://arxiv.org/abs/220..