• ftnonpar

  • Referenced in 67 articles [sw11128]
  • Statistics. 32. p1093-1136 Kovac, A. (2006) Smooth functions and local extreme values. Computational Statistics ... Kovac, A. (2006) Extensions of smoothing via taut strings Davies, P. L. (1995) Data features...
  • VTK

  • Referenced in 93 articles [sw10593]
  • such as: implicit modeling, polygon reduction, mesh smoothing, cutting, contouring, and Delaunay triangulation...
  • forecast

  • Referenced in 92 articles [sw04505]
  • analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA...
  • UNCMND

  • Referenced in 92 articles [sw05265]
  • NCMND minimizes a smooth nonlinear function of n variables. A subroutine that computes the function...
  • mgcv

  • Referenced in 66 articles [sw07751]
  • mgcv: Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation. Routines for GAMs and other generalized ... ridge regression with multiple smoothing parameter selection by GCV, REML or UBRE/AIC. Also GAMMs. Includes...
  • SsfPack

  • Referenced in 64 articles [sw09502]
  • Basic functions are available for filtering, moment smoothing and simulation smoothing. Ready-to-use functions...
  • sm

  • Referenced in 64 articles [sw12256]
  • package sm: Smoothing methods for nonparametric regression and density estimation. This is software linked ... book ’Applied Smoothing Techniques for Data Analysis - The Kernel Approach with S-Plus Illustrations’ Oxford...
  • 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...
  • ALGENCAN

  • Referenced in 77 articles [sw05160]
  • Fortran code for minimizing a smooth function with a potentially large number of variables...
  • logcondens

  • Referenced in 48 articles [sw11215]
  • density as well as a smoothed version of it under the assumption that the density ... 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...
  • Manopt

  • Referenced in 75 articles [sw08493]
  • focus is on problems where the smooth geometry of the search space can be leveraged...
  • PCA-SIFT

  • Referenced in 74 articles [sw04592]
  • neighborhood; however, instead of using SIFT’s smoothed weighted histograms, we apply Principal Components Analysis...
  • SCCP

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

  • Referenced in 66 articles [sw07972]
  • analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA...
  • expsmooth

  • Referenced in 35 articles [sw11122]
  • expsmooth: Data Sets from ”Forecasting with Exponential Smoothing”. Data sets from the book ”Forecasting with ... exponential smoothing: the state space approach” by Hyndman, Koehler, Ord and Snyder (Springer, 2008). Forecasting ... with exponential smoothing. The state space approach. Exponential smoothing methods have been around since ... used in business and industry. Recently, exponential smoothing has been revolutionized with the introduction...
  • TREESPH

  • Referenced in 63 articles [sw14217]
  • Monte Carlo-like approach known as smoothed particle hydrodynamics (SPH). Unlike most previous implementations...
  • AWS

  • Referenced in 43 articles [sw04034]
  • package aws: Adaptive Weights Smoothing. The package contains R-functions implementing the Propagation-Separation Approach ... adaptive smoothing as described in J. Polzehl and V. Spokoiny (2006), Propagation-Separation Approach...
  • NDSPMHD

  • Referenced in 42 articles [sw10435]
  • Smoothed particle hydrodynamics and magnetohydrodynamics. This paper presents an overview and introduction to smoothed particle...
  • FPC_AS

  • Referenced in 57 articles [sw12218]
  • involves the minimization of a smaller and smooth quadratic function, is solved in the second...
  • Mesquite

  • Referenced in 32 articles [sw10590]
  • adapt a given mesh. Mesquite uses advanced smoothing and optimization to: Untangle meshes, Provide local ... lengths for increased time-steps, Improve mesh smoothness, Perform anisotropic smoothing, Improve surface meshes, adapt ... curvature, Improve hybrid meshes (including pyramids & wedges), Smooth meshes with hanging nodes, Maintain quality...