• KELLEY

  • Referenced in 592 articles [sw04829]
  • devoted to the optimization of smooth functions. The methods studied in this first part rely ... adjusted to the noise level in the function. Direct search algorithms, including the Nelder-Mead ... both, optimization methods for smooth and for noisy functions is a unique feature of this...
  • SNOPT

  • Referenced in 495 articles [sw02300]
  • solving constrained optimization problems with smooth nonlinear functions in the objective and constraints. Here ... algorithm that uses a smooth augmented Lagrangian merit function and makes explicit provision for infeasibility...
  • MINOS

  • Referenced in 440 articles [sw05095]
  • mixture of both. The nonlinear functions must be smooth. Stable numerical methods are employed throughout...
  • NPSOL

  • Referenced in 147 articles [sw07420]
  • Fortran 77 subroutines for minimizing a smooth function subject to constraints, which may include simple ... smooth nonlinear constraints. The user provides subroutines to define the objective and constraints functions...
  • gss

  • Referenced in 255 articles [sw06099]
  • Smoothing spline ANOVA models Nonparametric function estimation with stochastic data, otherwise known as smoothing...
  • ve08

  • Referenced in 141 articles [sw05141]
  • consider the problem of minimizing a smooth objective function f of n real variables...
  • ALGENCAN

  • Referenced in 95 articles [sw05160]
  • Fortran code for minimizing a smooth function with a potentially large number of variables...
  • spatstat

  • Referenced in 122 articles [sw04429]
  • space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross...
  • SCCP

  • Referenced in 72 articles [sw03318]
  • special cases. Based on a general smoothing function, we propose in this paper...
  • ftnonpar

  • Referenced in 67 articles [sw11128]
  • Nonparametric Regression. The package contains R-functions to perform the methods in nonparametric regression ... p1093-1136 Kovac, A. (2006) Smooth functions and local extreme values. Computational Statistics and Data ... Kovac, A. (2006) Extensions of smoothing via taut strings Davies, P. L. (1995) Data features...
  • UNCMND

  • Referenced in 95 articles [sw05265]
  • NCMND minimizes a smooth nonlinear function of n variables. A subroutine that computes the function...
  • CFSQP

  • Referenced in 60 articles [sw04658]
  • maximum of a set of smooth objective functions (possibly a single one) subject to general ... smooth constraints. If the initial guess provided by the user is infeasible for some inequality ... iterates) and the maximum of the objective functions is replaced by an exact penalty function...
  • FPC_AS

  • Referenced in 57 articles [sw12218]
  • norm ∥x∥ 1 to a linear function of x. The resulting subspace problem, which involves ... minimization of a smaller and smooth quadratic function, is solved in the second phase...
  • logcondens

  • Referenced in 48 articles [sw11215]
  • density as well as a smoothed version of it under the assumption that the density ... Duembgen and Rufibach (2009). The main function of the package is ’logConDens’ that allows computation ... concave MLE and its smoothed version. In addition, we provide functions to compute ... density and distribution function estimates (MLE and smoothed) at a given point (2) the characterizing...
  • SsfPack

  • Referenced in 64 articles [sw09502]
  • filtering, moment smoothing and simulation smoothing. Ready-to-use functions are provided for standard tasks...
  • EBayesThresh

  • Referenced in 112 articles [sw11104]
  • PLUS library. The ebayesthresh_wavelet function applies the approach to wavelet transforms obtained with ... write their own wavelet smoothing routine making use of the function ebayesthresh. The software...
  • SolvOpt

  • Referenced in 48 articles [sw04332]
  • maximization of nonlinear, possibly non-smooth objective functions and solution of nonlinear minimization problems taking...
  • COBS

  • Referenced in 25 articles [sw08988]
  • qualitatively constrained smoothing via linear programming. Popular smoothing techniques generally have a difficult time accommodating ... function. In this paper, we attempt to bring the problem of constrained spline smoothing ... projection of a smooth function into the space of B-splines provides a monotone smoother...
  • WEDGE

  • Referenced in 39 articles [sw04771]
  • solving problems in which the objective function is smooth and the number of variables ... generates a model that interpolates the objective function at a set of sample points...
  • iPiasco

  • Referenced in 27 articles [sw13492]
  • smooth convex and a smooth convex function. This additional knowledge is used for deriving ... case rate of convergence for smooth strongly convex functions. We demonstrate the efficiency...