Results 11 to 20 of about 679,367 (185)
To improve high motion accuracy and efficiency in the high-speed operation of a 4-DOF (4 degrees of freedom) redundant parallel robot, this paper introduces a trajectory planning of the parallel robot in joint space based on the twelve-phase sine jerk ...
Shengqiao Hu +5 more
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Suspended sediment dynamics play an important role in controlling nearshore and estuarine geomorphology and the associated ecological environments. Modeling the transport of suspended sediment is a complicated and challenging research topic.
Wenrui Chen +4 more
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Emergency airport site selection using global subdivision grids
The occurrence of large-magnitude disasters has significantly aroused public attention regarding diversified site selection of emergency facilities. In particular, emergency airport site selection (EASS) is highly complicated, and relevant research is ...
Bing Han +4 more
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A Note on a Generalized Gerber–Shiu Discounted Penalty Function for a Compound Poisson Risk Model
In this paper, we propose a new generalized Gerber−Shiu discounted penalty function for a compound Poisson risk model, which can be used to study the moments of the ruin time.
Jiechang Ruan +5 more
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Geometric approach to Fletcher's ideal penalty function [PDF]
Original article can be found at: www.springerlink.com Copyright Springer. [Originally produced as UH Technical Report 280, 1993]In this note, we derive a geometric formulation of an ideal penalty function for equality constrained problems.
Christianson, B.
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Exact penalty functions with multidimensional penalty parameter and adaptive penalty updates [PDF]
In the second version, a number of small mistakes found in the paper was ...
openaire +2 more sources
Minimal penalty for Goldenshluger-Lepski method [PDF]
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
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In this paper, we have reviewed some penalty function methods for solving constrained optimization problems in the literature and proposed a continuously differentiable logarithmic penalty function which consists of the proposed logarithmic penalty ...
Mansur Hassan, Adam Baharum
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Variable selection using MM algorithms [PDF]
Variable selection is fundamental to high-dimensional statistical modeling. Many variable selection techniques may be implemented by maximum penalized likelihood using various penalty functions.
Hunter, David R., Li, Runze
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A General Solution for the Errors in Variables (EIV) Model with Equality and Inequality Constraints
Targeting the adjustment of the errors-in-variables (EIV) model with equality and inequality constraints, a general solution that is similar to the classical least square adjustment is proposed based on the penalty function and the weight in measurement.
Dengshan Huang, Yulin Tang, Qisheng Wang
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