Results 41 to 50 of about 118,287 (121)

Improved New Two-Spectral Conjugate Gradient Iterative Technique for Large Scale Optimization

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ
Numerous strategies have been proposed in the field of unconstrained optimization to address various optimization challenges, particularly those associated with large-scale systems. Among the classical methods, Newton and Quasi-Newton approaches are well-
Radhwan Basem Thanoon, Ghada Moayid Al-Naemi   +1 more
doaj   +1 more source

A Combined Quasi-Newton-Type Method Using 4th-Order Directional Derivatives for Solving Degenerate Problems of Unconstrained Optimization

Cybernetics and Computer Technologies
Introduction. Methods of unconstrained optimization play a significant role in machine learning [1–6]. When solving practical problems in machine learning, such as tuning nonlinear regression models, the extremum point of the chosen optimality criterion is often degenerate, which significantly complicates its search.
openaire   +2 more sources

A quasi-Newton proximal splitting method [PDF]

, 2012
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 ...
Becker, Stephen, Fadili, M. Jalal
core   +4 more sources

Fast Computation of Steady-State Response for Nonlinear Vibrations of High-Degree-of-Freedom Systems

, 2018
We discuss an integral equation approach that enables fast computation of the response of nonlinear multi-degree-of-freedom mechanical systems under periodic and quasi-periodic external excitation.
Breunung, Thomas, Haller, George, Jain, Shobhit   +2 more
core   +1 more source

A Hybrid Numerical Framework Based on Radial Basis Functions and Finite Difference Method for Solving Advection–Diffusion–Reaction-Type Interface Models

Mathematical and Computational Applications
Advection–diffusion–reaction-type interface models have wide-ranging applications in environmental science, chemical engineering, and biological systems, particularly in modeling pollutant transport in groundwater, reactive flows, and drug diffusion ...
Muhammad Asif, Javairia Gul, Mehnaz Shakeel, Ioan-Lucian Popa   +3 more
doaj   +1 more source

Identifying and attacking the saddle point problem in high-dimensional non-convex optimization [PDF]

, 2014
A central challenge to many fields of science and engineering involves minimizing non-convex error functions over continuous, high dimensional spaces.
Caglar Gulcehre, Kyunghyun Cho, Razvan Pascanu, Surya Ganguli, Universite ́ De Montréal, Yann N. Dauphin, Yoshua Bengio   +6 more
core  

A Class of Diagonally Preconditioned Limited Memory Quasi-Newton Methods for Large-Scale Unconstrained Optimization [PDF]

, 2009
The focus of this thesis is to diagonally precondition on the limited memory quasi-Newton method for large scale unconstrained optimization problem. Particularly, the centre of discussion is on diagonally preconditioned limited memory Broyden-Fletcher ...
Chen, Chuei Yee
core  

Quiescent and flaring X-ray emission from the nearby M/T dwarf binary SCR 1845-6357

, 2010
We investigate an XMM-Newton observation of SCR 1845-6357, a nearby, ultracool M8.5/T5.5 dwarf binary. The binary is unresolved in the XMM detectors, however the X-ray emission is very likely from the M8.5 dwarf.
Audard, Berger, Biller, Chabrier, Deacon, Durney, Fleming, Fleming, Grevesse, Güdel, Güdel, Güdel, Hambly, Henry, Henry, J. H. M. M. Schmitt, J. Robrade, K. Poppenhaeger, Kasper, McCaughrean, Mohanty, Reale, Reid, Robrade, Robrade, Robrade, Stelzer   +26 more
core   +1 more source

Proximal Stochastic Newton-type Gradient Descent Methods for Minimizing Regularized Finite Sums [PDF]

, 2014
In this work, we generalized and unified recent two completely different works of Jascha \cite{sohl2014fast} and Lee \cite{lee2012proximal} respectively into one by proposing the \textbf{prox}imal s\textbf{to}chastic \textbf{N}ewton-type gradient ...
Shi, Ziqiang
core  

Regularized estimation for highly multivariate log Gaussian Cox processes

, 2019
Statistical inference for highly multivariate point pattern data is challenging due to complex models with large numbers of parameters. In this paper, we develop numerically stable and efficient parameter estimation and model selection algorithms for a ...
Choiruddin, Achmad, Coeurjolly, Jean-François, Cuevas-Pacheco, Francisco, Waagepetersen, Rasmus   +3 more
core   +4 more sources