Results 31 to 40 of about 475,413 (306)

Bregman Monotone Optimization Algorithms [PDF]

SIAM Journal on Control and Optimization, 2003
Summary: A broad class of optimization algorithms based on Bregman distances in Banach spaces is unified around the notion of Bregman monotonicity. A systematic investigation of this notion leads to a simplified analysis of numerous algorithms and to the development of a new class of parallel block-iterative surrogate Bregman projection schemes ...
Bauschke, Heinz H., Borwein, Jonathan M., Combettes, Patrick L.   +2 more
openaire   +1 more source

Optimizing the Trickle Algorithm [PDF]

IEEE Communications Letters, 2015
The Trickle Algorithm has enjoyed much popularity and widespread use as a basic network primitive ensuring low-cost data consistency in lossy networks. Trickle is shaped by the so-called short-listen problem, hence the imposition of a listen-only period.
Djamaa, Badis, Richardson, Mark A.
openaire   +2 more sources

Multi-layer optimization algorithm

Journal of Algorithms & Computational Technology, 2022
The optimization of experimental results has repeatedly posed major challenges for scientist and engineers. In this work, a systematic multi-layer optimization scheme is proposed in conjunction with particle swarm optimization algorithm to locate a ...
M Abdalla, J Yamin, E Al-Khawaldeh
doaj   +1 more source

Extra intravenous Ustekinumab reinduction is an effective optimization strategy for patients with refractory Crohn’s disease

Frontiers in Medicine, 2023
ObjectivesUstekinumab (UST) optimization strategies, including shortening intervals and intravenous reinduction, should be administered to patients with partial or loss of respond. Evidence comparing these types of optimization treatments is limited.
Jiayin Yao, Jiayin Yao, Xiang Peng, Xiang Peng, Yingkui Zhong, Yingkui Zhong, Tao Su, Tao Su, Adam Bihi, Adam Bihi, Junzhang Zhao, Junzhang Zhao, Tao Liu, Tao Liu, Wei Wang, Wei Wang, Pinjin Hu, Pinjin Hu, Min Zhang, Min Zhang, Min Zhi, Min Zhi   +21 more
doaj   +1 more source

Optimal deterministic algorithm generation [PDF]

Journal of Global Optimization, 2018
Abstract A formulation for the automated generation of algorithms via mathematical programming (optimization) is proposed. The formulation is based on the concept of optimizing within a parameterized family of algorithms, or equivalently a family of functions describing the algorithmic steps.
Mitsos, Alexander, Najman, Jaromil, Kevrekidis, Ioannis G.   +2 more
openaire   +4 more sources

Exploring Preferences for a Digital Single‐Session Intervention for Adolescent Siblings of Youth With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Adolescent siblings of children with cancer are at elevated risk for psychosocial problems. Unfortunately, various barriers such as limited family time and resources, conflicting schedules, and psychosocial staffing constraints at cancer centers hinder sibling access to support.
Christina M. Amaro, Sarah Silver, Prishi Patel, Meredith K. Reffner Collins, Kimberly S. Canter, Stephanie Fooks‐Parker, Michael Amylon, Shawna V. Hudson, Jessica L. Schleider, Melissa A. Alderfer, Katie A. Devine   +10 more
wiley   +1 more source

Optimized K‐Means Algorithm [PDF]

Mathematical Problems in Engineering, 2014
The localization of the region of interest (ROI), which contains the face, is the first step in any automatic recognition system, which is a special case of the face detection. However, face localization from input image is a challenging task due to possible variations in location, scale, pose, occlusion, illumination, facial expressions, and clutter ...
Samir Brahim Belhaouari, Shahnawaz Ahmed, Samer Mansour   +2 more
openaire   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Group leaders optimization algorithm [PDF]

Molecular Physics, 2011
We present a new global optimization algorithm in which the influence of the leaders in social groups is used as an inspiration for the evolutionary technique which is designed into a group architecture. To demonstrate the efficiency of the method, a standard suite of single and multidimensional optimization functions along with the energies and the ...
Daskin, Anmer, Kais, Sabre
openaire   +4 more sources

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source