Results 11 to 20 of about 715,331 (285)

Minimal penalty for Goldenshluger-Lepski method [PDF]

open access: yesStochastic Processes and their Applications, 2016
This paper is concerned with adaptive nonparametric estimation using the Goldenshluger-Lepski selection method. This estimator selection method is based on pairwise comparisons between estimators with respect to some loss function.
Lacour, Claire, Massart, Pascal
core   +6 more sources

A Path Algorithm for Constrained Estimation [PDF]

open access: yes, 2011
Many least squares problems involve affine equality and inequality constraints. Although there are variety of methods for solving such problems, most statisticians find constrained estimation challenging.
Brunk H. D.   +36 more
core   +1 more source

Death Penalty for Corruptors in Indonesian Human Rights Perspective

open access: yesUnnes Law Journal, 2020
The death penalty for corruptors, gaining a place in Indonesia's positive criminal law. As a country that makes Pancasila an ideology, it is interesting to be reviewed in this paper on the existence of the death penalty for the corruptor from a human ...
Yaris Adhial Fajrin   +3 more
doaj   +1 more source

Some variants of projection methods for large nonlinear optimization problems

open access: yesJournal of Telecommunications and Information Technology, 2003
Two ideas of modifying projection methods for the case of smooth nonlinear optimization are presented. Projection methods were originally successfully used in solving large-scale linear feasibility problems.
Paweł Białoń
doaj   +1 more source

Dilema Hukuman Mati: Komparasi Antara Konvenan International Terkait Hak Asasi Manusia dan Pandangan Nahdlatul Ulama

open access: yesJurnal Keislaman, 2023
The United Nations, through Resolution 77/2022 of  the Global Moratorium on the Death Penalty, has encouraged world countries to postpone the death penalty because it is seen as a violation of Human Rights.
Kiagus Zaenal Mubarok   +2 more
doaj   +1 more source

Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded [PDF]

open access: yes, 2019
Decision trees usefully represent sparse, high dimensional and noisy data. Having learned a function from this data, we may want to thereafter integrate the function into a larger decision-making problem, e.g., for picking the best chemical process ...
Krennrich, Gerhard   +4 more
core   +2 more sources

Generalized Quadratic Augmented Lagrangian Methods with Nonmonotone Penalty Parameters

open access: yesJournal of Applied Mathematics, 2012
For nonconvex optimization problem with both equality and inequality constraints, we introduce a new augmented Lagrangian function and propose the corresponding multiplier algorithm. New iterative strategy on penalty parameter is presented.
Xunzhi Zhu   +3 more
doaj   +1 more source

Structured penalized regression for drug sensitivity prediction

open access: yes, 2020
Large-scale {\it in vitro} drug sensitivity screens are an important tool in personalized oncology to predict the effectiveness of potential cancer drugs.
Zhao, Zhi, Zucknick, Manuela
core   +1 more source

On Penalty and Gap Function Methods for Bilevel Equilibrium Problems

open access: yesJournal of Applied Mathematics, 2011
We consider bilevel pseudomonotone equilibrium problems. We use a penalty function to convert a bilevel problem into one-level ones. We generalize a pseudo-∇-monotonicity concept from ∇-monotonicity and prove that under pseudo-∇-monotonicity property any
Bui Van Dinh, Le Dung Muu
doaj   +1 more source

Fourier-spectral method for the Landau–Lifshitz–Gilbert equation in micromagnetism

open access: yesResults in Applied Mathematics, 2023
The Landau–Lifshitz–Gilbert (LLG) equation models the temporal evolution of magnetization in continuum ferromagnets. The LLG equation has a nonconvex constraint and is highly nonlinear.
M. Moumni, S.M. Douiri, J.S. Kim
doaj   +1 more source

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