
gss
 Referenced in 282 articles
[sw06099]
 versatile family of smoothing methods derived through roughness penalties that are suitable for both univariate ... comprehensive treatment of penalty smoothing under a unified framework. Methods are developed for (i) regression...

RPSALG
 Referenced in 7 articles
[sw12637]
 unified framework for penalty and smoothing methods for solving minmax convex semiinfinite programing...

SDPEN
 Referenced in 19 articles
[sw05152]
 DerivativeFree Library  SDPEN: Sequential penalty derivativefree methods for nonlinear constrained optimization. We consider ... differentiable function of several variables subject to smooth nonlinear constraints. We assume that the first ... increasing interest in studying derivativefree methods for their solution. The aim of the paper ... derivativefree context a sequential penalty approach for nonlinear programming. This approach consists in solving...

cvplogistic
 Referenced in 4 articles
[sw29394]
 penalty only to the variables selected by the Lasso. For all the implemented methods ... computed along kappa, which is a more smooth fit for the logistic model. Tuning parameter...

cosso
 Referenced in 1 article
[sw23471]
 method that automatically estimates and selects important function components by a softthresholding penalty ... context of smoothing spline ANOVA models. Implemented models include mean regression, quantile regression, logistic regression...

FRegSigComp
 Referenced in 2 articles
[sw22557]
 theoretical and practical difficulties for the existing methods, including estimation inconsistency and prediction inaccuracy. Motivated ... smoothness of coefficient functions, we propose a simultaneous sparsesmooth penalty which is incorporated into ... infinity. We implement the proposed method in the R package FRegSigComp. Simulation studies show that...

pylearnsimulate
 Referenced in 1 article
[sw26392]
 Linear Regression with Structured and Sparse Penalties: Introducing pylearnsimulate. A currently very active field ... field of nonsmooth convex minimization. With recently developed methods it is possible to perform ... linear regression problems with sparse and structured penalties. Additionally, this approach allows the user...

UDDAE_Optimization
 Referenced in 2 articles
[sw38320]
 spectral abscissa with a variance penalty. For every realization of the uncertainties, the spectral abscissa ... Approach, and then corrected with Newton’s method. The objective function and its gradient ... computing integrals using quasiMonte Carlo methods. The minimization of the objective function relies ... software HANSO (Hybrid Algorithm for Non Smooth Optimization...

ODsplines
 Referenced in 1 article
[sw32120]
 naturally incorporated as a weighted smoothness penalty. The estimator of the curve is expressed ... design using simulated data and apply our method to the Berkeley growth data to estimate...

BARON
 Referenced in 327 articles
[sw00066]
 BARON is a computational system for solving nonconvex...

CGAL
 Referenced in 370 articles
[sw00118]
 The goal of the CGAL Open Source Project...

CSDP
 Referenced in 200 articles
[sw00169]
 CSDP, A C Library for Semidefinite Programming. This...

EdgePack
 Referenced in 27 articles
[sw00229]
 A new and simple method is proposed to...

Gmsh
 Referenced in 635 articles
[sw00366]
 Gmsh is a 3D finite element grid generator...

HSL
 Referenced in 274 articles
[sw00418]
 HSL (formerly the Harwell Subroutine Library) is a...

ISNaS
 Referenced in 12 articles
[sw00456]
 ISNaS Deft incompressible flow solver. The purpose of...

ISOGAT
 Referenced in 298 articles
[sw00457]
 A tutorial 2D MATLAB code for solving elliptic...

KNITRO
 Referenced in 182 articles
[sw00490]
 KNITRO is a solver for nonlinear optimization. It...

LANCELOT
 Referenced in 304 articles
[sw00500]
 LANCELOT. A Fortran package for largescale nonlinear...