
ftnonpar
 Referenced in 67 articles
[sw11128]
 Statistics. 32. p10931136 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. Readytouse 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 SPlus 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...

PCASIFT
 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 Carlolike 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 Rfunctions implementing the PropagationSeparation Approach ... adaptive smoothing as described in J. Polzehl and V. Spokoiny (2006), PropagationSeparation 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 timesteps, Improve mesh smoothness, Perform anisotropic smoothing, Improve surface meshes, adapt ... curvature, Improve hybrid meshes (including pyramids & wedges), Smooth meshes with hanging nodes, Maintain quality...