Results 91 to 100 of about 108,734 (233)

An Efficient Subspace Minimization Conjugate Gradient Method for Solving Nonlinear Monotone Equations with Convex Constraints

open access: yesAxioms
The subspace minimization conjugate gradient (SMCG) methods proposed by Yuan and Store are efficient iterative methods for unconstrained optimization, where the search directions are generated by minimizing the quadratic approximate models of the ...
Taiyong Song, Zexian Liu
doaj   +1 more source

Exact Algorithms for the Quadratic Linear Ordering Problem [PDF]

open access: yes, 2007
The quadratic linear ordering problem naturally generalizes various optimization problems, such as bipartite crossing minimization or the betweenness problem, which includes linear arrangement.
Buchheim, Christoph   +2 more
core  

A Cascaded Strategy With Embodied Artificial Intelligence: Forward Kinematics Solutions for CCRobot‐S

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT This paper presents a novel cable‐climbing mechanism: the Collaborative Climbing Robot Squad (CCRobot‐S), a variant of Reconfigurable Cable‐Driven Parallel Robots (R‐CDPR), specifically designed for the inspection and maintenance of stay cables.
Zhenliang Zheng   +4 more
wiley   +1 more source

Better on Average? Average Inflation Targeting With an Unclear Averaging Window

open access: yesSouthern Economic Journal, EarlyView.
ABSTRACT Average inflation targeting (AIT) aims to stabilize inflation expectations by offsetting past deviations from target. However, ambiguity about the averaging window can complicate expectations formation and reduce policy effectiveness. This paper integrates AIT into a benchmark DSGE model, incorporating adaptive learning and a signal extraction
James Dean
wiley   +1 more source

Optimal Job Design and Information Elicitation

open access: yesThe RAND Journal of Economics, EarlyView.
ABSTRACT When managers rely on their subordinates for local information but cannot commit to how such information is used, the incentives for effort and information elicitation become intertwined. This incentive problem influences the firm's job design decision, that is, whether to assign all tasks in a job to one worker (“individual assignment”) or ...
Arijit Mukherjee   +2 more
wiley   +1 more source

A new variants of quasi-newton equation based on the quadratic function for unconstrained optimization

open access: yes, 2020
The focus for quasi-Newton methods is the quasi-Newton equation. A new quasi-Newton equation is derived for quadratic function. Then, based on this new quasi-Newton equation, a new quasi-Newton updating formulas are presented.
Basim A. Hassan, Mohammed W. Taha
semanticscholar   +1 more source

Addressing ecological challenges from a quantum computing perspective

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract With increased access to data and the advent of computers, the use of statistical tools and numerical simulations is becoming commonplace for ecologists. These approaches help improve our understanding of ecological phenomena and their underlying mechanisms in increasingly complex environments.
Maxime Clenet   +2 more
wiley   +1 more source

Quadratic and nonlinear programming problems solving and analysis in fully fuzzy environment

open access: yesAlexandria Engineering Journal, 2015
This paper presents a comprehensive methodology for solving and analyzing quadratic and nonlinear programming problems in fully fuzzy environment. The solution approach is based on the Arithmetic Fuzzy Logic-based Representations, previously founded on ...
Walaa Ibrahim Gabr
doaj   +1 more source

Computing Skinning Weights via Convex Duality

open access: yesComputer Graphics Forum, EarlyView.
We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
wiley   +1 more source

Image Noise Reduction and Solution of Unconstrained Minimization Problems via New Conjugate Gradient Methods

open access: yesMathematics
The conjugate gradient (CG) directions are among the important components of the CG algorithms. These directions have proven their effectiveness in many applications—more specifically, in image processing due to their low memory requirements.
Bassim A. Hassan   +4 more
doaj   +1 more source

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