Results 101 to 110 of about 76,549 (323)

New Proposed Conjugate Gradient Method for Nonlinear Unconstrained Optimization

Science Journal of University of Zakho, 2016
In this paper, we suggest a new conjugate gradient method for unconstrained optimization by using homotopy theory. Our suggestion algorithm satisfies the conjugacy and descent conditions.
Salah G. Shareef, Dlovan H. Omar
doaj  

Dual‐Interface Engineering of the Source Electrode to Overcome the Intrinsic Injection‐Leakage Trade‐Off in Organic Schottky Barrier Transistors

Advanced Functional Materials, EarlyView.
A charge injection layer is introduced via RIE to decouple the dual functions of the source electrode: lowering contact resistance through doping to enhance charge injection, while SAM modification on the top surface minimizes leakage current. This strategy enables OSBTs to achieve a high on/off ratio with improved stability and performance.
Hye Ryun Sim, Sangjun Lee, Geon‐Hee Nam, Jieun Kwon, Junseo Kim, Syed Zahid Hassan, Dae Sung Chung   +6 more
wiley   +1 more source

An improved conjugate gradient algorithm by adapting a new line search technique

Electronic Research Archive
The conjugate gradient (CG) method is an optimization technique known for its rapid convergence; it has blossomed into significant developments and applications.
Asma Maiza, Raouf Ziadi, Mohammed A. Saleh, Abdulgader Z. Almaymuni   +3 more
doaj   +1 more source

Spatially Tailorable Liquid Crystalline Elastomer Alignment During Digital Light Process 3D Printing

Advanced Functional Materials, EarlyView.
Here, we report the fabrication of 3D printable liquid crystalline elastomer (LCE) structures with spatially tailorable alignment domains within the same layer. This work addresses the long‐standing challenge of preparing complex 3D LCE architectures with patterned functional domains to achieve nonlinear deformations. Fabrication of multi‐domains in 3D
Adam Bischoff, Saman Jamshididana, Zach Miller, Kassandra Hernandez, Nicolas Gonsalves, Andre Olarra, Elliot Yoo, Jeremy A. Herman, Devin J. Roach   +8 more
wiley   +1 more source

A Novel Conjugate Gradient Algorithm as a Convex Combination of Classical Conjugate Gradient Methods

Kurdistan Journal of Applied Research
Conjugate gradient (CG) algorithms are constructive for handling large-scale nonlinear optimization problems. One optimization technique intended to address unconstrained optimization issues effectively is the hybrid conjugate gradient (HCG) algorithm ...
Sara Sahib Mohammed Zaki, Hawraz Nadhim Jabbar , Sozan Saber Haider   +2 more
doaj   +1 more source

Efficiency of unconstrained minimization techniques in nonlinear analysis [PDF]

Unconstrained minimization algorithms have been critically evaluated for their effectiveness in solving structural problems involving geometric and material nonlinearities.
Kamat, M. P., Knight, N. F., Jr.
core   +1 more source

Does a Morphotropic Phase Boundary Exist in ZrxHf1‐xO2‐Based Thin Films?

Advanced Functional Materials, EarlyView.
This study investigates 6 nm zirconium‐rich hafnium‐zirconium oxide thin–film metal–insulator–metal capacitors using a combination of experimental methods and machine learning–based molecular dynamics simulations to provide insight into the physical mechanisms that enhance the dielectric constant near 0 V and attribute it to the field‐induced ...
Pramoda Vishnumurthy, Richard Ganser, Dong‐Gyu Kim, Intak Jeon, Chang Hwa Jung, Hanjin Lim, Thomas Mikolajick, Susan Trolier‐McKinstry, Alfred Kersch, Uwe Schroeder   +9 more
wiley   +1 more source

An improved convex constrained conjugate gradient descent method for nonlinear monotone equations with signal recovery applications

AIMS Mathematics
The conjugate descent (CD) method is a conjugate gradient (CG) variant with remarkable convergence properties. This paper presents a modified CD scheme for solving systems of constrained monotone nonlinear equations. Eigenvalue analysis demonstrates that
Habibu Abdullahi, A. K. Awasthi, Mohammed Yusuf Waziri, Issam A. R. Moghrabi, Abubakar Sani Halilu, Kabiru Ahmed, Sulaiman M. Ibrahim, Yau Balarabe Musa, Elissa M. Nadia   +8 more
doaj   +1 more source

Cold Quad‐Modal Nanocomplex for Precise and Quantitative In Vivo Stem Cell Tracking

Advanced Functional Materials, EarlyView.
Multimodal albumin–bismuth sulfide–superparamagnetic iron oxide (ABS) nanocomplexes are developed for stem cell tracking across four different imaging modalities: MRI, MPI, MSOT, and CT. Combining its flexibility with high sensitivity, this quad‐modal imaging agent enables a robust quantification of ABS‐labeled stem cells in vivo.
Ali Shakeri‐Zadeh, Chao Wang, Shreyas Kuddannaya, Saleem Yousf, Jeff W. M. Bulte   +4 more
wiley   +1 more source

Global convergence of modified conjugate gradient methods with application in conditional model regression function [PDF]

Iranian Journal of Numerical Analysis and Optimization
The conjugate gradient method is one of the most important ideas in sci-entific computing. It is applied to solving linear systems of equations and nonlinear optimization problems. In this paper, based on a variant of the Hestenes–Stiefel (HS) method and
C. Yacine, Abd Elhamid
doaj   +1 more source