Results 81 to 90 of about 59,611 (293)
An exact piecewise differentiable parameter-free penalty function [PDF]
Vita.In this dissertation, the problem of optimizing a nonlinear objective function subject to linear and/or nonlinear constraints is considered. When the constraints are nonlinear, it is particularly advantageous to transform the constrained problem ...
Feiring, Bruce Robert
core
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
The alternating direction method is one of the attractive approaches for solving convex optimization problems with linear constraints and separable objective functions.
Jingjing Peng +3 more
doaj +1 more source
Penalty-based smoothness conditions in convex variational regularization [PDF]
The authors study Tikhonov regularization of linear ill-posed problems with a general convex penalty defined on a Banach space. It is well known that the error analysis requires smoothness assumptions.
Stefan Kindermann +5 more
core +1 more source
This paper presents a digital microfluidics‐based technique for transferring and reconfiguring soft nanomembranes. Laser‐machined nanothin membranes are picked up, transported, and aligned via tailored surface tension and the actuation of water droplets, enabling the development of flexible electronics, the integration of functional materials on 3D ...
Quang Anh Nguyen +15 more
wiley +1 more source
Aiming at the adverse influence of penalty parameter and mode number on the VMD( variational mode decomposition),a newly MVMD( modification variational mode decomposition) was proposed through the information entropy difference.
HONG JianFeng +3 more
doaj
SCAD regression model selection with information criteria for multivariate response models [PDF]
This paper provides an objective function for smoothly clipped absolute deviation (SCAD) regression models with multivariate responses. The log-likelihood of a multivariate normal distribution is considered instead of $L_2$ norm to create the model's ...
Amirhossein Ghatari +2 more
doaj +1 more source
Influence of single observations on the choice of the penalty parameter in ridge regression [PDF]
Penalized regression methods such as ridge regression heavily rely on the choice of a tuning or penalty parameter, which is often computed via cross-validation.
De Bin, Riccardo +2 more
core +1 more source
Submicron Metasurface Reconfigured Multiband Smart Windows
This work presents a submicron metasurface reconfigured multiband thermochromic smart window. By integrating subwavelength nanostructures into a Fabry−Perot resonator configuration, it mitigates conventional trade‐offs to simultaneously deliver high luminous transmittance and robust solar heating and radiative cooling modulation capabilities ...
Guanya Wang +8 more
wiley +1 more source
The evolution of supervision strategies on coal mine safety hazards and dynamic penalty
This study constructed an evolutionary game model between local government and coal mining enterprises by combining prospect theory and evolutionary game to study the behavioral strategies of coal mining enterprises facing different regulatory measures ...
HE Yinnan +3 more
doaj +1 more source

