Results 71 to 80 of about 13,500,255 (277)
A quasi-Newton proximal splitting method
A new result in convex analysis on the calculation of proximity operators in certain scaled norms is derived. We describe efficient implementations of the proximity calculation for a useful class of functions; the implementations exploit the piece-wise linear nature of the dual problem.
Becker, Stephen, Fadili, Jalal M.
openaire +4 more sources
Abstract Purpose To investigate the changes in tibiofemoral contact mechanics following an infra‐tubercle slope‐modifying osteotomy. Methods An infra‐tubercle slope‐modifying osteotomy was performed on eight fresh‐frozen cadaveric knees and fixed with an external fixator, which allowed for accurate slope adjustments from 15° to 0° in 5° increments. The
Christian Peez +8 more
wiley +1 more source
An Efficient Limited Memory Multi-Step Quasi-Newton Method
This paper is dedicated to the development of a novel class of quasi-Newton techniques tailored to address computational challenges posed by memory constraints. Such methodologies are commonly referred to as “limited” memory methods.
Issam A. R. Moghrabi, Basim A. Hassan
doaj +1 more source
Quasi-Newton Methods With Derivatives
When the Jacobian of a nonlinear system of equations is fully available, the main drawback for the application of Newton's method is the linear algebra work associated with its basic iteration.
J.M. Martínez
core
A Reversible Clearing Strategy Enables Robust Label‐Free Phase Imaging of Thick Tissues
The principle of a reversible clearing strategy via glycerol and tartrazine solution (GTS) for robust whole‐slide label‐free phase imaging of thick tissue slices via high‐throughput Fourier ptychographic microscopy (FPM) and lensless digital holographic microscopy (LDHM). ABSTRACT Thick biological specimens impose strong scattering and attenuation that
Mikołaj Krysa +5 more
wiley +1 more source
Quasi-Newton methods for solving non-smooth multiobjective optimization
In this paper, a quasi-Newton type algorithm for non-smooth multiobjective optimization is presented. In this algorithm, in every iteration a quadratic subproblem solves until a critical point is reached. Moreover, the global convergence of the algorithm
Najmeh Hoseini Monjezi
doaj
A class of damped quasi-Newton methods for nonlinear optimization has recently been proposed by extending the damped-technique of Powell for the BFGS method to the Broyden family of quasi-Newton methods.
Mehiddin Al-Baali, Anton Purnama
doaj +1 more source
Spatially Uniform and Defect‐Tolerant Plasmonic Responses in 3D Printed Gold Nanoparticle Assemblies
We introduce 3D nanoprinting of gold nanoparticle assemblies and show that their broad optical responses remain reproducible despite structural disorder. This robustness is attributed to ensemble‐averaged plasmonic responses from many local coupling regions.
Vasanthan Devaraj +6 more
wiley +1 more source
SMOOTH QUASI-NEWTON METHODS FOR NONSMOOTH OPTIMIZATION [PDF]
The success of Newton’s method for smooth optimization, when Hessians are available, motivated the idea of quasi-Newton methods, which approximate Hessians in response to changes in gradients and result in superlinear convergence on smooth functions ...
Guo, Jiayi
core +1 more source
An All‐At‐Once Solver for Visco‐Acoustic Full Waveform Inversion in the Time‐Domain
ABSTRACT Full waveform inversion (FWI) is the cutting‐edge seismic imaging technique used to reconstruct subsurface material properties such as wave velocities, mass density, and attenuation from measurements of reflected wavefields. In this article, we present the first implementation of FWI in the visco‐acoustic regime, based on a new time‐domain all‐
Christian Rheinbay, Andreas Rieder
wiley +1 more source

