Results 21 to 30 of about 92,614 (167)

Impact of Censored or Penalized Data in the Genetic Evaluation of Two Longevity Indicator Traits Using Random Regression Models in North American Angus Cattle

open access: yesAnimals, 2021
This study aimed to evaluate the impact of different proportions (i.e., 20%, 40%, 60% and 80%) of censored (CEN) or penalized (PEN) data in the prediction of breeding values (EBVs), genetic parameters, and computational efficiency for two longevity ...
Hinayah R. Oliveira   +3 more
doaj   +1 more source

Penalized Trimmed Squares and a Modification of Support Vectors for Unmasking Outliers in Linear Regress

open access: yesRevstat Statistical Journal, 2007
We consider the problem of identifying multiple outliers in linear regression models. We propose a penalized trimmed squares (PTS) estimator, where penalty costs for discarding outliers are inserted into the loss function.
G. Zioutas   +2 more
doaj   +1 more source

On the dynamics of grounded shallow ice sheets: Modeling and analysis

open access: yesAdvances in Nonlinear Analysis, 2023
In this article, we formulate a model describing the evolution of thickness of a grounded shallow ice sheet. The thickness of the ice sheet is constrained to be nonnegative. This renders the problem under consideration an obstacle problem.
Piersanti Paolo, Temam Roger
doaj   +1 more source

The Existence Problems of Solutions for a Class of Differential Variational–Hemivariational Inequality Problems

open access: yesMathematics, 2023
In this work, we used reflexive Banach spaces to study the differential variational—hemivariational inequality problems with constraints. We established a sequence of perturbed differential variational–hemivariational inequality problems with perturbed ...
Shih-Sen Chang   +4 more
doaj   +1 more source

The Multi-Objective Transportation Problem Solve with Geometric Mean and Penalty Methods

open access: yesIndonesian Journal of Innovation and Applied Sciences, 2023
The traditional (classical) Transportation Problem (TP) can be viewed as a specific case of the Linear Programming (LP) problem, as well as its models are used to find the best solution for the problem of predetermined how many units of a good or service
K.P.O.Niluminda, E.M.U.S.B.Ekanayake
doaj   +1 more source

An Adversarial Attack via Penalty Method

open access: yesIEEE Access
Deep learning systems have achieved significant success across various machine learning tasks. However, they are highly vulnerable to attacks. For example, adversarial examples can fool deep learning systems easily by perturbing inputs with small ...
Jiyuan Sun, Haibo Yu, Jianjun Zhao
doaj   +1 more source

Rationality Parameter for Exercising American Put

open access: yesRisks, 2015
In this paper, irrational exercise behavior of the buyer of an American put is characterized by a single parameter. We model irrational exercise rules as the first jump time of a point processes with stochastic intensity. By the rationality parameter, we
Kamille Sofie Tågholt Gad   +1 more
doaj   +1 more source

Penalty Method for Variational Inequalities

open access: yesAdvances in Applied Mathematics, 1997
The author studied the problem of the existence of a solution of a class of variational inequalities using the penalty method. The results are proved in an informal way. It should be noted that almost all results are known for more general classes of variational inequalities, see for example, \textit{N. Kikuchi} and \textit{J. T.
openaire   +1 more source

Weak solutions for nonlocal evolution variational inequalities involving gradient constraints and variable exponent

open access: yesElectronic Journal of Differential Equations, 2013
In this article, we study a class of nonlocal quasilinear parabolic variational inequality involving $p(x)$-Laplacian operator and gradient constraint on a bounded domain.
Mingqi Xiang, Yongqiang Fu
doaj  

A nonmonotone line search method for solving constrained multiobjective optimization problems [PDF]

open access: yesIranian Journal of Numerical Analysis and Optimization
In this paper, we propose a globally convergent Sequential Quadratic Programming (SQP) method for solving constrained multiobjective optimization problems (MOPs) with inequality constraints.
Mehri Rashidi, Esmaile Khorram
doaj   +1 more source

Home - About - Disclaimer - Privacy