Results 111 to 120 of about 124,946 (301)

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

Modifications of the Limited Memory BFGS Algorithm for Large-scale Nonlinear Optimization

open access: yes, 2005
In this paper we present two new numerical methods for unconstrained large-scale optimization. These methods apply update formulae, which are derived by considering different techniques of approximating the objective function.
June, Leong Wah, Hassan, Malik Abu
core   +1 more source

Estimating crippling loss from hunting with multistate models: a case study on northern bobwhites

open access: yesWildlife Biology, EarlyView.
Hunting as a recreational pursuit provides an important ecosystem service worldwide. Harvest management plays a vital role in regulating wildlife take to ensure long‐term population sustainability and meet value‐based objectives (e.g. hunter satisfaction). However, managers rarely have complete control or observability of harvest mortality.
Amanda S. Cramer   +10 more
wiley   +1 more source

Quasi-Newton methods for generalized equations

open access: yes, 1979
Newton's method is a well known and often applied technique for computing a zero of a nonlinear function. Situations arise in which it is undesirable to evaluate, at each iteration, the derivative appearing in the Newton iteration formula. In these cases,
Josephy, Norman
core   +2 more sources

Investigating Breathing Dynamics of a 110 kV Oil‐Immersed Transformer Using Thermal‐Fluid‐Structure Interaction Modelling

open access: yesHigh Voltage, EarlyView.
ABSTRACT The breathing system of an oil‐immersed transformer is of vital importance for maintaining equilibrium between internal and external pressures, with any malfunction potentially disrupting the transformer's stable operation. This study develops a thermal–fluid–structure interaction (TFSI) model to simulate the breathing phenomenon in a 110 kV ...
Lujia Wang   +5 more
wiley   +1 more source

An Effective Space-Borne ISAR High-Resolution Imaging Approach for Satellite On-Orbit Based on Minimum Entropy Optimization

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The space situational awareness program places great significance on obtaining high-resolution images of satellite in space orbit. By utilizing space-borne inverse synthetic aperture radar (SBISAR) can achieve high-resolution imaging of observed ...
Yifei Liu   +3 more
doaj   +1 more source

The End of Self‐Regulation: Will the Football Governance Act 2025 Fix the National Game?

open access: yesThe Modern Law Review, EarlyView.
The Football Governance Act 2025 is a watershed. It upends the model of self‐regulation that has defined how the game has been run in England and Wales for over a century‐and‐a‐half. The newly created Independent Football Regulator will exercise control over clubs, owners, and competition organisers.
Jan Zglinski
wiley   +1 more source

خوارزمیتان متطورتان من أشبـاه نیوتن لحل مسائل الأمثلیة غیر المقیدة

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics, 2013
Abbas Y. Al-Bayati, Basim A. Hassan
doaj   +1 more source

A Primal-Dual Quasi-Newton Method for Constrained Optimization

open access: yes, 1984
One of the most important developments in nonlinear constrained optimization in recent years has been the recursive quadratic programming (RQP) method suggested by Wilson, Han, Powell and many other researchers. It is clear that the role of the auxiliary
Nakayama, H., Orimo, M.
core  

Pseudo-loadflow formulation as a starting process for the Newton Raphson

open access: yes, 2010
This paper introduces new models which approximate the AC loadflow problem, but are able to converge (using the Newton Raphson algorithm) from a wider range of starting points.
Irving, MR
core   +1 more source

Home - About - Disclaimer - Privacy