Inference of cell-cell interactions from population density characteristics and cell trajectories on static and growing domains
Ross, R
Yates, C
Baker, R
L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders
Ouyang, R
Elliott, A
Limnios, S
Cucuringu, M
Reinert, G
Complex Networks & Their Applications XII
volume 1141
400-412
(20 Feb 2024)
Global predictions of short- to medium-term COVID-19 transmission trends : a retrospective assessment
Bhatia, S
Parag, K
Wardle, J
Imai, N
Elsland, S
Lassmann, B
Cuomo-Dannenburg, G
Jauneikaite, E
Unwin, H
Riley, S
Ferguson, N
Donnelly, C
Cori, A
Nouvellet, P
Managing Insecticide Resistance by Mass Release of Engineered Insects
Alphey, N
Coleman, P
Donnelly, C
Alphey, L
Journal of Economic Entomology
volume 100
issue 5
1642-1649
(01 Oct 2007)
Mapping stationary axisymmetric phase-space distribution functions by orbit libraries
Thomas, J
Saglia, R
Bender, R
Thomas, D
Gebhardt, K
Magorrian, J
Richstone, D
(01 Jun 2004)
Regularized orbit models unveiling the stellar structure and dark matter halo of the Coma elliptical NGC 4807
Thomas, J
Saglia, R
Bender, R
Thomas, D
Gebhardt, K
Magorrian, J
Corsini, E
Wegner, G
(21 Apr 2005)
Radiation resistant cancer cells enhance the survival and resistance of sensitive cells in prostate spheroids
Kannan, P
Paczkowski, M
Miar, A
Owen, J
Kretzschmar, W
Lucotti, S
Kaeppler, J
Chen, J
Markelc, B
Kunz-Schughart, L
Harris, A
Partridge, M
Byrne, H
Hensel lifting and bivariate polynomial factorisation over finite fields
Gao, S
Lauder, A
Mathematics of Computation
volume 71
issue 240
1663-1676
(05 Dec 2001)
Efferocytosis perpetuates substance accumulation inside macrophage populations
Ford, H
Zeboudj, L
Purvis, G
Bokum, A
Zarebski, A
Bull, J
Byrne, H
Myerscough, M
Greaves, D
Thu, 13 Jun 2024
14:00 -
15:00
Lecture Room 3
A New Two-Dimensional Model-Based Subspace Method for Large-Scale Unconstrained Derivative-Free Optimization: 2D-MoSub
Pengcheng Xie
(Chinese Academy of Sciences)
Abstract
This seminar will introduce 2D-MoSub, a derivative-free optimization method based on the subspace method and quadratic models, specifically tackling large-scale derivative-free problems. 2D-MoSub combines 2-dimensional quadratic interpolation models and trust-region techniques to update the points and explore the 2-dimensional subspace iteratively. Its framework includes constructing the interpolation set, building the quadratic interpolation model, performing trust-region trial steps, and updating the trust-region radius and subspace. Computation details and theoretical properties will be discussed. Numerical results demonstrate the advantage of 2D-MoSub.
Short Bio:
Pengcheng Xie, PhD (Chinese Academy of Sciences), is joining Lawrence Berkeley National Laboratory as a postdoctoral scholar specializing in mathematical optimization and numerical analysis. He has developed optimization methods, including 2D-MoSub and SUSD-TR. Pengcheng has published in major journals and presented at ISMP 2024 (upcoming), ICIAM 2023, and CSIAM 2022. He received the Hua Loo-keng scholarship in 2019 and the CAS-AMSS Presidential scholarship in 2023.