Results 51 to 60 of about 27,103 (155)

Infeasibility and Directional Distance Functions with Application to the Determinateness of the Luenberger Productivity Indicator [PDF]

The purpose of this contribution is to highlight an underexplored property of the directional distance function, a recently introduced generalization of the Shephard distance function.
Kristiaan Kerstens, Walter Briec
core  

A preconditioned inexact infeasible quantum interior point method for linear optimization

Computational Optimization and Applications
Abstract Quantum Interior Point Methods (QIPMs) have been attracting significant interests recently due to their potential of solving optimization problems substantially faster than state-of-the-art conventional algorithms. In general, QIPMs use Quantum Linear System Algorithms (QLSAs) to substitute classical linear system solvers ...
Zeguan Wu, Xiu Yang, Tamás Terlaky
openaire   +2 more sources

Structure optimization of jacquard lifting knife on NURBS curve

Jixie qiangdu
In view of the problem that large jacquard machine was prone to bending deformation when bearing load, resulting in insufficient lifting height of lifting knife, so that the straight needle hook can not be caught by the electromagnetic device.
YANG ZhenNing, LI YuLiang
doaj  

An inexact infeasible arc-search interior-point method for linear optimization

28 pages, 3 ...
Iida, Einosuke, Yamashita, Makoto
openaire   +2 more sources

An Inexact Feasible Quantum Interior Point Method for Linearly Constrained Quadratic Optimization. [PDF]

Entropy (Basel), 2023
Wu Z, Mohammadisiahroudi M, Augustino B, Yang X, Terlaky T.   +4 more
europepmc   +1 more source

An infeasible Predictor-Corrector Interior Point Method Applied to Image Denoising

, 1997
Image recovery problems can be solved using optimization techniques. In this case, they often lead to the resolution of either a large scale quadratic program, or, equivalently, to a nondifferentiable minimization problem. Interior point methods are widely known for their efficiency in linear programming. Lately, they have been extended with success to
Pola, Cecilia, Sagastizábal, Claudia
openaire   +1 more source

Integration of AR and deep learning-based image classification using CNN for construction project monitoring. [PDF]

Sci Rep
Fan SL, Lin BY, Wu CT, Youn HY, Recha F, Świerzawski J, Malucha M.   +6 more
europepmc   +1 more source

Improving SVM performance through data reduction and misclassification analysis with linear programming. [PDF]

Complex Intell Systems
Suárez CA, Castro M, Leon M, Martin-Barreiro C, Liut M.   +4 more
europepmc   +1 more source

Cycle-configuration descriptors: a novel graph-theoretic approach to enhancing molecular inference. [PDF]

J Cheminform
Song B, Zhu J, Azam NA, Haraguchi K, Zhao L, Akutsu T.   +5 more
europepmc   +1 more source

A Dexterous Reorientation Strategy for Precision Picking of Large Thin Objects. [PDF]

Sensors (Basel)
Seo J.
europepmc   +1 more source