Results 51 to 60 of about 78,174,241 (251)

First-Train Timetable Synchronization in Metro Networks under Origin-Destination Demand Conditions

Journal of Advanced Transportation, 2022
This paper focuses on how to synchronize network-wide timetables of first trains in an urban metro system, in which the train-connection-based route can be exactly determined for each first-train-attached origin-destination (OD) demand pair.
Hetian Chai, Xiaopeng Tian, Huimin Niu
doaj   +1 more source

Clinical Impact of MGMT Promoter Methylation in IDH‐Mutant Gliomas: Influence of Threshold Selection and Clinical Confounding

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background The clinical relevance of MGMT promoter methylation in IDH‐mutant gliomas remains controversial in the era of molecular classification. We aimed to systematically evaluate its clinical relevance by integrating quantitative assessment, cutoff exploration, and adjustment for clinical confounding.
Haihui Jiang, Linxi Cao, Xiaodong Chen, Siqi Tong, Qinghui Zhu, Jun Yang, Song Lin, Yong Cui   +7 more
wiley   +1 more source

Optimization of Data Distributed Network System under Uncertainty

Discrete Dynamics in Nature and Society, 2022
The major network design or data distributed problems may be described as constrained optimization problems. Constrained optimization problems include restrictions imposed by the system designers.
Laxminarayan Sahoo, Supriyan Sen, Kalishankar Tiwary, Sovan Samanta, Tapan Senapati   +4 more
doaj   +1 more source

Energy-Efficient and QoS-Aware Computation Offloading in GEO/LEO Hybrid Satellite Networks

Remote Sensing, 2023
Benefiting from advanced satellite payload technologies, edge computing servers can be deployed on satellites to achieve orbital computing and reduce the mission processing delay.
Wenkai Lv, Pengfei Yang, Yunqing Ding, Zhenyi Wang, Chengmin Lin, Quan Wang   +5 more
doaj   +1 more source

Frailty Predicts Incident Osteoporotic Fractures in Veterans with Rheumatoid Arthritis

Arthritis Care &Research, EarlyView.
Objective Rheumatoid arthritis (RA) is associated with an increased risk of frailty and osteoporosis, but the relationship between frailty and incident osteoporotic fractures in RA is underexplored. Methods Data were from the Veterans Affairs (VA) Rheumatoid Arthritis Registry. Frailty was measured using the VA Frailty Index (VAFI).
Katherine D. Wysham, Hannah F. Brubeck, Aaron Baraff, Punyasha Roul, Namrata Singh, James S. Andrews, Grant W. Cannon, Gary A. Kunkel, Ted R. Mikuls, Bryant R. England, Dolores M. Shoback, Patricia P. Katz, Jose M. Garcia, Ariela R. Orkaby, Joshua F. Baker   +14 more
wiley   +1 more source

Generalized Lagrange Multiplier Technique for Nonlinear Programming [PDF]

, 1975
Our aim here is to present numerical methods for solving a general nonlinear programming problem. These methods are based on transformation of a given constrained minimization problem into an unconstrained maximin problem.
Evtushenko, Y.
core  

A nonlinear vehicle-structure interaction methodology with wheel-rail detachment and reattachment [PDF]

, 2013
. A vehicle-structure interaction methodology with a nonlinear contact formulation based on contact and target elements has been developed. To solve the dynamic equations of motion, an incremental formulation has been used due to the nonlinear nature ...
Azevedo, A.F.M., Calcada, R., Neves, Sérgio, Montenegro, P. A.   +3 more
core   +2 more sources

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Generalized Lagrange Multiplier Technique for Nonlinear Programming [PDF]

, 1974
The numerical methods we present are based on transforming a given constrained minimization problem into an unconstrained maximin problem. This transformation is accomplished by utilizing generalized Lagrange multipler technique. Such an approach permits
Evtushenko, Y.
core   +1 more source

Neutrosophic augmented Lagrange multipliers method Nonlinear Programming Problems Constrained by Inequalities [PDF]

Neutrosophic Sets and Systems
Operations research uses scientific methods that take the language of mathematics as a basis and uses the computer, without which it would not be possible to achieve numerical solutions to the problems raised.
Florentin Smarandache, Maissam Jdid, Takaaki Fujita   +2 more
doaj   +1 more source