Results 91 to 100 of about 2,345,368 (345)
Constrained Minimization Problem for Image Restoration Based on Non-Convex Hybrid Regularization
It is widely known that the classic total variation(TV) model has been proven to be very effective in preserving sharp edges. However, the TV model suffers from the staircase effects which produce blocking artifacts in the restored images. In this paper,
Jianguang Zhu +3 more
doaj +1 more source
PARROT: Prediction of enzyme abundances using protein-constrained metabolic models.
Protein allocation determines the activity of cellular pathways and affects growth across all organisms. Therefore, different experimental and machine learning approaches have been developed to quantify and predict protein abundance and how they are ...
Mauricio Alexander de Moura Ferreira +2 more
doaj +1 more source
Sign-Constrained Regularized Loss Minimization
In practical analysis, domain knowledge about analysis target has often been accumulated, although, typically, such knowledge has been discarded in the statistical analysis stage, and the statistical tool has been applied as a black box. In this paper, we introduce sign constraints that are a handy and simple representation for non-experts in generic ...
Tsuyoshi Kato +2 more
openaire +2 more sources
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Constrained Texture Synthesis via Energy Minimization [PDF]
This paper describes CMS (constrained minimization synthesis), a fast, robust texture synthesis algorithm that creates output textures while satisfying constraints.
core
Solving Generalized Mixed Equilibria, Variational Inequalities, and Constrained Convex Minimization
We propose implicit and explicit iterative algorithms for finding a common element of the set of solutions of the minimization problem for a convex and continuously Fréchet differentiable functional, the set of solutions of a finite family of generalized
A. E. Al-Mazrooei, A. Latif, J. C. Yao
doaj +1 more source
Pattern Search Algorithms for Bound Constrained Minimization [PDF]
The authors extend pattern search algorithms to bound constrained minimization of the form \[ \begin{aligned}\text{minimize }\quad & f(x)\\ \text{subject to }\quad & 1\leq x\leq u. \end{aligned} \] A general class of feasible point pattern search algorithms is developed and the global convergence to a Karush-Kuhn-Tucker-point is proved.
Robert Michael Lewis, Virginia Torczon
openaire +2 more sources
Design and analysis strategies for robust microbiome ageing research
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
In this paper, we consider the existence of normalized solutions for the following Kirchhoff-type problem: \begin{equation*} -\left (a+b\int_{\mathbb{R}^{N}}|\nabla u|^{2}dx\right)\Delta u=\lambda u+|u|^{p-2}u+\mu |u|^{q-2}u\quad \mbox{in} \ \mathbb{R}^{
Changlin Liu, Ying Lv, Zeng-Qi Ou
doaj +1 more source
Suppression of Vibration Using Passive Receptance Method with Constrained Minimization
Structural vibration analysis is used to suppress unwanted vibrations in many areas such as aerospace engineering, manufacturing, defense, automotive, etc.
Murat Tursun, Eşref Eşkinat
doaj +1 more source

