Results 61 to 70 of about 3,486,102 (302)

Methodology to Solve Multi-Dimentional Sphere Packing Problems [PDF]

open access: yesJournal of Mechanical Engineering, 2019
This paper discusses the problem of optimally packing spheres of various dimensions into containers of arbitrary geometrical shapes. According to the international classification, this problem belongs to Sphere Packing Problems (SPPs).
Georgiy N. Yaskov
doaj   +1 more source

Combinatorial Optimization and Nonlinear Optimization

open access: yesJournal of Physics: Conference Series, 2021
Abstract The objective of this paper is to locate a superior method that merges quicker of maximal independent set problem (MIS). One methodology is to the correlation between The Penalty and Augmented Lagrangian Methods. We have likewise built up the hypothetical combination properties of these methods.
Abbas Musleh Salman   +1 more
openaire   +1 more source

Clinician and Patient Factors Associated With Long‐Term Glucocorticoid Use in People With Rheumatoid Arthritis Receiving Advanced Therapies

open access: yesArthritis Care &Research, EarlyView.
Objective Despite guideline recommendations, long‐term glucocorticoid (GC) use is common in rheumatoid arthritis (RA). We conducted a clinician survey nested within a large registry to identify patient and clinician factors associated with GC use. Methods Clinicians contributing patients to the CorEvitas Rheumatoid Arthritis Registry were surveyed ...
Michael D. George   +7 more
wiley   +1 more source

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

open access: yesInternational 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   +2 more
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

An optimization approach for radiosurgery treatment planning [PDF]

open access: yes, 2001
We outline a new approach for radiosurgery treatment planning, based on solving a series of optimization problems. We consider a speci c treat- ment planning problem for a specialized device known as the Gamma Knife, that provides an advanced ...
Lim, Jinho   +2 more
core  

FFT size optimization for LTE RoF in nonlinear fibre propagation [PDF]

open access: yes, 2012
This papers investigates the performance of the fast Fourier transform (FFT) sizes- 64, 128, 256, 512 and 1024 for the orthogonal frequency division multiplexing (OFDM) scheme in 3 rd generation partnership program (3GPP)-long term evolution (LTE) and ...
Ghassemlooy, Zabih   +7 more
core   +1 more source

Nonlinear Optimization: A Brief Overview

open access: yes, 2022
In this chapter some of the most important results for unconstrained and constrained optimization problems are discussed. This chapter does not claim to cover all the aspects in nonlinear optimization that will require more than one complete book.
De Leone, Renato, Renato De Leone
core   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

open access: yesAdvanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy