
KernSmooth
 Referenced in 630 articles
[sw04586]
 Kernel smoothing refers to a general methodology for recovery of the underlying structure in data ... required for a comprehensive understanding of kernel smoothing, and hence smoothing problems in general ... given to the problem of choosing the smoothing parameter.par For the study of the book ... research in the field of kernel smoothing. But the bibliographical notes...

KELLEY
 Referenced in 500 articles
[sw04829]
 pages, is devoted to the optimization of smooth functions. The methods studied in this first ... treatment of both, optimization methods for smooth and for noisy functions is a unique feature...

SNOPT
 Referenced in 378 articles
[sw02300]
 effective for solving constrained optimization problems with smooth nonlinear functions in the objective and constraints ... discuss an SQP algorithm that uses a smooth augmented Lagrangian merit function and makes explicit...

MINOS
 Referenced in 415 articles
[sw05095]
 both. The nonlinear functions must be smooth. Stable numerical methods are employed throughout. Features include...

SemiPar
 Referenced in 401 articles
[sw07116]
 interest even to experts on smoothing, and they are a third possible audience. This book...

gss
 Referenced in 151 articles
[sw06099]
 Smoothing spline ANOVA models Nonparametric function estimation with stochastic data, otherwise known as smoothing ... ample desktop and laptop computing power, smoothing methods are now finding their ways into everyday ... methods have proved successful for univariate smoothing, ones practical in multivariate settings number far less ... Smoothing spline ANOVA models are a versatile family of smoothing methods derived through roughness penalties...

Wesseling
 Referenced in 226 articles
[sw09677]
 choose various multigrid cycles, transfer operators, smoothing methods, and nested iteration, and defect correction. Cell...

NPSOL
 Referenced in 108 articles
[sw07420]
 Fortran 77 subroutines for minimizing a smooth function subject to constraints, which may include simple ... bounds on the variables, linear constraints, and smooth nonlinear constraints. The user provides subroutines...

Cinderella
 Referenced in 124 articles
[sw00127]
 combination. They are designed to interact very smoothly. Computer algebra system...

ve08
 Referenced in 123 articles
[sw05141]
 consider the problem of minimizing a smooth objective function f of n real variables...

HOMPACK
 Referenced in 114 articles
[sw05324]
 appropriate homotopy map and then tracking some smooth curve in the zero set of this...

KNITRO
 Referenced in 110 articles
[sw00490]
 effective for solving linear, quadratic, and nonlinear smooth optimization problems, both convex and nonconvex...

gamair
 Referenced in 104 articles
[sw11132]
 accessible and the author used a fairly smooth way even in the case of advanced...

FITPACK
 Referenced in 87 articles
[sw09171]
 package of Fortran subroutines for calculating smoothing splines for various kinds of data and geometries...

ftnonpar
 Referenced in 60 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...

hgam
 Referenced in 52 articles
[sw11201]
 additive modeling. We propose a new sparsitysmoothness penalty for highdimensional generalized additive models ... combination of sparsity and smoothness is crucial for mathematical theory as well as performance ... Finally, an adaptive version of our sparsitysmoothness penalized approach yields large additional performance gains...

SSVM
 Referenced in 47 articles
[sw12678]
 SSVM: A smooth support vector machine for classification. Smoothing methods, extensively used for solving important ... here to generate and solve an unconstrained smooth reformulation of the support vector machine ... arbitrary kernel. We term such reformulation a Smooth Support Vector Machine (SSVM). A fast Newton...

ML
 Referenced in 80 articles
[sw08067]
 blackbox classes to construct highlyscalable smoothed aggregation preconditioners. ML preconditioners have been used...

NESTA
 Referenced in 78 articles
[sw06576]
 already quite immense. This paper applies a smoothing technique and an accelerated firstorder algorithm...

CFSQP
 Referenced in 54 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...