• 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 min-max convex semi-infinite programing...
  • SDPEN

  • Referenced in 19 articles [sw05152]
  • Derivative-Free Library - SDPEN: Sequential penalty derivative-free 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 derivative-free methods for their solution. The aim of the paper ... derivative-free 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 soft-thresholding 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 sparse-smooth penalty which is incorporated into ... infinity. We implement the proposed method in the R package FRegSigComp. Simulation studies show that...
  • pylearn-simulate

  • Referenced in 1 article [sw26392]
  • Linear Regression with Structured and Sparse Penalties: Introducing pylearn-simulate. A currently very active field ... field of non-smooth 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 quasi-Monte 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...
  • 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 large-scale nonlinear...