Results 51 to 60 of about 8,001 (254)

A scaled three-term conjugate gradient method for unconstrained optimization

open access: yesJournal of Inequalities and Applications, 2016
Conjugate gradient methods play an important role in many fields of application due to their simplicity, low memory requirements, and global convergence properties.
Ibrahim Arzuka   +2 more
doaj   +1 more source

Artificial Neural Network Driven Computational Modeling of Naegleria fowleri Epidemics Using Variational Optimization

open access: yesAdvanced Physics Research, EarlyView.
ABSTRACT This study presents a mathematical framework to analyze the transmission dynamics of an amoeba‐induced central nervous system infection. The population is divided into compartments including susceptible, exposed, infected, quarantined, hospitalized, recovered, protected, and deceased.
Wakeel Ahmed   +3 more
wiley   +1 more source

Action constrained quasi-Newton methods

open access: yesCoRR, 2014
At the heart of Newton based optimization methods is a sequence of symmetric linear systems. Each consecutive system in this sequence is similar to the next, so solving them separately is a waste of computational effort. Here we describe automatic preconditioning techniques for iterative methods for solving such sequences of systems by maintaining an ...
Robert Mansel Gower, Jacek Gondzio
openaire   +2 more sources

Artificial Intelligence–Driven and Digital Practices for Circular Business and Finance: Insights for Advancing Hubs for Circularity

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi   +3 more
wiley   +1 more source

Efficiency and Stability of a New Hybrid Unconstrained Optimization Algorithm with Quasi-Newton Updates and Higher-Order Methods

open access: yesMathematics
We propose the higher-order quasi-Newton (HOQN) method, a hybrid algorithm for unconstrained optimization that combines Newtonian predictors with higher-order correctors derived from vector extensions of the Traub, Chun, and Ostrowski methods, along with
Alicia Cordero   +3 more
doaj   +1 more source

Optimization of 3D‐Printed Structured Packings—Current State and Future Developments

open access: yesChemie Ingenieur Technik, EarlyView.
This paper gives an overview about structured packing development for distillation, surveying heuristic development cycles, computational fluid dynamics simulations, and additive manufacturing techniques. The emerging application of shape optimization to improve packings is emphasized, and its benefits, impact, and limitations are discussed.
Dennis Stucke   +3 more
wiley   +1 more source

A numerical solution of parabolic quasi-variational inequality nonlinear using Newton-multigrid method [PDF]

open access: yesIranian Journal of Numerical Analysis and Optimization
In this article, we apply three numerical methods to study the L∞-convergence of the Newton-multigrid method for parabolic quasi-variational inequalities with a nonlinear right-hand side.
M. Bahi, M. Beggas, N. Nesba, A. Imtiaz
doaj   +1 more source

A quasi-Newton proximal splitting method

open access: yes, 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 linear nature of the dual problem.
Becker, Stephen, Fadili, Jalal M.
openaire   +4 more sources

Ultrafast Transitions in X‐Ray Irradiated Solids

open access: yesContributions to Plasma Physics, EarlyView.
ABSTRACT In this review, we present current developments on modeling ultrafast transitions in solids triggered by intense, atto‐ to femtosecond pulses from X‐ray free electron lasers. This specific irradiation regime requires dedicated simulation tools based on theoretical and computational methods, involving the elements of classical and quantum ...
Sebastião Antunes   +3 more
wiley   +1 more source

Numerical Experience with Damped Quasi-Newton Optimization Methods when the Objective Function is Quadratic

open access: yesSultan Qaboos University Journal for Science, 2012
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

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