Results 71 to 80 of about 50,039 (279)

Penalized Composite Quasi-Likelihood for Ultrahigh-Dimensional Variable Selection

, 2010
In high-dimensional model selection problems, penalized simple least-square approaches have been extensively used. This paper addresses the question of both robustness and efficiency of penalized model selection methods, and proposes a data-driven ...
Bai, Bickel, Bickel, Bickel, Deutsch, Efron, Fan, Fan, Fan, Fan, Fan, Frank, Friedman, Huang, Huber, Kim, Koenker, Lehmann, Li, Portnoy, Portnoy, Tibshirani, van der Vaart, Wu, Xie, Yuan, Zhao, Zou, Zou, Zou, Zou   +30 more
core   +1 more source

BACH, a Bayesian Optimization Protocol for Accurate Coarse‐Grained Parameterization of Organic Liquids

Advanced Functional Materials, EarlyView.
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu, Akhil Pratap Singh, Pablo Campomanes, Stefano Vanni   +3 more
wiley   +1 more source

Feature selection for probabilistic load forecasting via sparse penalized quantile regression

Journal of Modern Power Systems and Clean Energy, 2019
Probabilistic load forecasting (PLF) is able to present the uncertainty information of the future loads. It is the basis of stochastic power system planning and operation. Recent works on PLF mainly focus on how to develop and combine forecasting models,
Yi Wang, Dahua Gan, Ning Zhang, Le Xie, Chongqing Kang   +4 more
doaj   +1 more source

Algorithmic Design of Disordered Networks With Arbitrary Coordination: Application to Biophotonics

Advanced Functional Materials, EarlyView.
Predictive Design of Disordered Networks: Disordered network‐like morphologies are abundant in nature, from cytoskeletal networks to bone structures and chalcogenide glasses. These structures are naturally hard to characterize. A new algorithmic tool extends the established Wooten–Weaire–Winer (WWW) algorithm to valencies above 4.
Florin Hemmann, Vincent Glauser, Ullrich Steiner, Matthias Saba   +3 more
wiley   +1 more source

Wound Geometry Determines Whether Aligned‐Fiber Scaffolds Accelerate or Impede Diabetic Wound Healing: A Biased Random Walk Analysis

Advanced Healthcare Materials, EarlyView.
Wound closure is governed by geometry‐orientation coupling: aligned fibers speed migration along their axis but hinder perpendicular advance. In vivo diabetic wound experiments with composition‐matched fibrin, combined with an anisotropic diffusion (biased random‐walk) model, quantify this trade‐off and generate a healing landscape.
Yin‐Yuan Huang, Xiangjun Peng, Yuxuan Huang, Kunkoo Kim, Chengli Li, Peilun Hu, Sean J. Wang, Rohan Avula, Chun‐Yi Yang, Pengchao Ma, Shuhui Yang, Shumeng Jiang, Guy M. Genin, Xiumei Wang   +13 more
wiley   +1 more source

A Penalized Linear and Nonlinear Combined Conjugate Gradient Method for the Reconstruction of Fluorescence Molecular Tomography

International Journal of Biomedical Imaging, 2007
Conjugate gradient method is verified to be efficient for nonlinear optimization problems of large-dimension data. In this paper, a penalized linear and nonlinear combined conjugate gradient method for the reconstruction of fluorescence molecular ...
Shang Shang, Jing Bai, Xiaolei Song, Hongkai Wang, Jaclyn Lau   +4 more
doaj   +1 more source

Screening Rules for Convex Problems [PDF]

, 2016
We propose a new framework for deriving screening rules for convex optimization problems. Our approach covers a large class of constrained and penalized optimization formulations, and works in two steps.
Gärtner, Bernd, Jaggi, Martin, Olbrich, Jakob, Raj, Anant, Schölkopf, Bernhard   +4 more
core   +1 more source

Finding global solutions of some inverse optimal control problems using penalization and semismooth Newton methods

Journal of Global Optimization, 2023
AbstractWe present a method to solve a special class of parameter identification problems for an elliptic optimal control problem to global optimality. The bilevel problem is reformulated via the optimal-value function of the lower-level problem. The reformulated problem is nonconvex and standard regularity conditions like Robinson’s CQ are violated ...
Markus Friedemann, Felix Harder, Gerd Wachsmuth   +2 more
openaire   +4 more sources

Adaptive Twisting Metamaterials

Advanced Materials, EarlyView.
This work introduces torque‐controlled twisting metamaterials as a transformative platform for adaptive crashworthiness. By combining multiscale predictive modeling with experimental validation on additively manufactured gyroids, it demonstrates tunable stiffness, collapse stress, and energy absorption.
Mattia Utzeri, Maria L. Gatto, Edoardo Mancini, Donato Orlandi, Daniele Cortis, Marco Sasso, Shanmugam Kumar   +6 more
wiley   +1 more source

Topology and Material Optimization in Ultra‐Soft Magneto‐Active Structures: Making Advantage of Residual Anisotropies

Advanced Materials, EarlyView.
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia, Rogelio Ortigosa, Jesús Martínez‐Frutos, Daniel Garcia‐Gonzalez   +3 more
wiley   +1 more source