Results 51 to 60 of about 12,262,956 (340)
Function graphs of different penalty factors.
, 2022 Function graphs of different penalty factors.
Junpeng Wu (12368780) +3 more
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EFFECT OF PENALTY FUNCTION PARAMETER IN OBJECTIVE FUNCTION OF SYSTEM IDENTIFICATION [PDF]
, 2013 The evaluation of an objective function for a particular model allows one to determine the optimality of a model structure with the aim of selecting an adequate model in system identification.
Abd Samad, Md Fahmi
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Nearly unbiased variable selection under minimax concave penalty [PDF]
, 2010 We propose MC+, a fast, continuous, nearly unbiased and accurate method of penalized variable selection in high-dimensional linear regression. The LASSO is fast and continuous, but biased.
Cun-Hui Zhang
semanticscholar +1 more source
The augmented penalty function and optimal control
, 2021 The augmented penalty function and optimal ...
Panagiotis T. Saltavareas (11131628)
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JThis study discusses the role of the equivalence factor and penalty function in improving the performance of energy consumption minimization strategies in Range Extended Electric Vehicles (REEVs).
Malika Keldiyarova +3 more
doaj +1 more source
Parallel Algorithm of Balanced Sparse Packing of Rectangular Parallelepipeds
Кібернетика та комп'ютерні технології, 2023 Introduction. Varieties of the problem of packing of rectangular parallelepipeds have a wide practical application in various fields of activity, for example, in the optimal filling of containers, in the design and layout of a wide variety of ...
Oleg Berezovskyi +2 more
doaj +1 more source
Longitudinal functional models with structured penalties
Statistical Modelling, 2016 This article addresses estimation in regression models for longitudinally collected functional covariates (time-varying predictor curves) with a longitudinal scalar outcome. The framework consists of estimating a time-varying coefficient function that is modelled as a linear combination of time-invariant functions with time-varying coefficients.
Kundu, Madan G. +2 more
openaire +4 more sources
The use of pseudo-inertia in asymptotic modelling of constraints in boundary value problems
, 2009 In recent publications, the validity of using positive and negative inertial penalty parameters and the advantage of this approach over the conventional positive penalty function approach have been established for linear eigenvalue problems.
Ilanko, Sinniah, Henderson, L.
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The continuous quadrant penalty formulation of logical constraints
Open Journal of Mathematical Optimization, 2023 Could continuous optimization address efficiently logical constraints? We propose a continuous-optimization alternative to the usual discrete-optimization (big-M and complementary) formulations of logical constraints, that can lead to effective practical
Cafieri, Sonia +2 more
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PFNN: A Penalty-Free Neural Network Method for Solving a Class of Second-Order Boundary-Value Problems on Complex Geometries [PDF]
Journal of Computational Physics, 2020 We present PFNN, a penalty-free neural network method, to efficiently solve a class of second-order boundary-value problems on complex geometries. To reduce the smoothness requirement, the original problem is reformulated to a weak form so that the ...
H. Sheng, Chao Yang
semanticscholar +1 more source