OpenSCAD

Known as: Scad 
OpenSCAD is a free software application for creating solid 3D CAD objects. It is a script only based modeller, with a specific description language… (More)
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3D printingAdditive Manufacturing File FormatC++CGAL
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Papers overview

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2014
2014
Thresholding RULES and iterative shrinkage/thresholding algorithm: A convergence study
Imaging inverse problems can be formulated as an optimization problem and solved thanks to algorithms such as forward-backward or… (More)
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Highly Cited
2013
Highly Cited
2013
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
We establish theoretical results concerning all local optima of various regularized M-estimators, where both loss and penalty… (More)
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Highly Cited
2009
Highly Cited
2009
Sparsistency and Rates of Convergence in Large Covariance Matrix Estimation.
This paper studies the sparsistency and rates of convergence for estimating sparse covariance and precision matrices based on… (More)
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Highly Cited
2009
Highly Cited
2009
Forward Regression for Ultra-High Dimensional Variable Screening
Motivated by the seminal theory of Sure Independence Screening (Fan and Lv, 2008, SIS), we investigate here another popular and… (More)
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Highly Cited
2009
Highly Cited
2009
NETWORK EXPLORATION VIA THE ADAPTIVE LASSO AND SCAD PENALTIES.
Graphical models are frequently used to explore networks, such as genetic networks, among a set of variables. This is usually… (More)
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Highly Cited
2008
Highly Cited
2008
One-step Sparse Estimates in Nonconcave Penalized Likelihood Models.
Fan & Li (2001) propose a family of variable selection methods via penalized likelihood using concave penalty functions. The… (More)
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Highly Cited
2007
Highly Cited
2007
Compositions, functional properties and antioxidative activity of protein hydrolysates prepared from round scad (Decapterus maruadsi)
 
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Highly Cited
2007
Highly Cited
2007
VARIABLE SELECTION IN QUANTILE REGRESSION
After its inception in Koenker and Bassett (1978), quantile regression has become an important and widely used technique to study… (More)
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Highly Cited
2006
Highly Cited
2006
Sure Independence Screening for Ultra-High Dimensional Feature Space
Variable selection plays an important role in high dimensional statistical modelling which nowadays appears in many areas and is… (More)
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2006
2006
SCAD-penalized regression in high-dimensional partially linear models
1 Summary. We consider the problem of simultaneous variable selection and estimation in partially linear models with a divergent… (More)
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