
nprobust
 Referenced in 2 articles
[sw30833]
 Robust Estimation and Inference Methods using Local Polynomial Regression and Kernel Density Estimation. Tools ... statistical analysis using local polynomial regression and kernel density estimation methods as described in Calonico ... local polynomial point estimation and robust biascorrected inference, lpbwselect() for local polynomial bandwidth selection ... kdrobust() for kernel density point estimation and robust biascorrected inference, kdbwselect() for kernel density...

SPEED
 Referenced in 32 articles
[sw08653]
 deal with a nonuniform polynomial degree distribution as well as a locally varying mesh ... kernel, whereas illustrative examples are discussed to highlight the engineering applications of the method...

npsp
 Referenced in 3 articles
[sw31433]
 classes and methods for multidimensional: linear binning, local polynomial kernel regression, density and variogram estimation...

SingularIntegralEquations
 Referenced in 10 articles
[sw22771]
 singular integral equations. We develop a spectral method for solving univariate singular integral equations over ... intervals by utilizing Chebyshev and ultraspherical polynomials to reformulate the equations as almostbanded infinite ... approximations for sparse representations of the bivariate kernels. The resulting system can be solved ... Julia software package ‘SingularIntegralEquations.jl’ implements our method with a convenient, userfriendly interface...

kerdec
 Referenced in 1 article
[sw39523]
 methods, including multivariate kernel deconvolution density estimation and deconvolution version of local constant polynomial regression...

ChebCoInt
 Referenced in 4 articles
[sw32042]
 Approximating the approximant: A numerical code for polynomial compression of discrete integral operators. The action ... integral operators, discretized by a suitable quadrature method, can be compressed and accelerated by means ... with respect to other wellknown fast methods: its effectiveness rests on the “smoothing effect ... nonlinear instances, with both smooth and nonsmooth kernels. We describe a Matlab toolbox which implements...

Algorithm 967
 Referenced in 6 articles
[sw23693]
 sums with volume integrals. Particle $N$body methods can be used to accelerate such integrals ... highorder piecewise Chebyshev polynomials and an octree data structure to represent the input ... approximation of the nearfield and the Kernel Independent FMM (KIFMM) for the farfield...

npbr
 Referenced in 1 article
[sw15636]
 approaches to nonparametric boundary estimation. The selected methods are concerned with empirical, smoothed, unrestricted ... based on piecewise polynomials, splines, local linear fitting, extreme values and kernel smoothing. The package ... Monte Carlo comparisons among these different estimation methods. Its use is illustrated via a number...

smoots
 Referenced in 1 article
[sw35248]
 estimated. The estimation is conducted via local polynomial regression using an automatically selected bandwidth obtained ... NadarayaWatson kernel smoother is also builtin as a comparison. The methods...

ViennaMath
 Referenced in 1 article
[sw12918]
 opensource implementation of a symbolic math kernel in C++. The library provides a unified ... such as implementations of the finite element method. A nonexhaustive list of features ... differentiation of arbitrary expressions; Symbolic integration of polynomials; LaTeX converter: Directly generates LaTeX code from...

SympGPR
 Referenced in 1 article
[sw39176]
 method, whereas a sum kernel results in a fast explicit method from this approach. Both ... methods in terms of numerical integration but fulfill a complementary purpose. The developed methods ... regression of the flow map with orthogonal polynomials. Chaotic behavior is studied on the standard...

scgwr
 Referenced in 1 article
[sw28372]
 largescale geographically weighted regression with polynomial kernels. While a number of studies have developed ... Monte Carlo simulation. Then, we apply these methods to a residential land analysis...

iMPTCEHnetwork
 Referenced in 1 article
[sw39601]
 alternative pipeline is to design efficient computational methods. In this study, we proposed a powerful ... which incorporated the support vector machine (polynomial kernel) as the basic classifier. The tenfold...

ADOLC
 Referenced in 247 articles
[sw00019]
 ADOLC: Automatic Differentiation of C/C++. We present...

ANSYS
 Referenced in 685 articles
[sw00044]
 ANSYS offers a comprehensive software suite that spans...

ATLAS
 Referenced in 198 articles
[sw00056]
 This paper describes the Automatically Tuned Linear Algebra...

BoomerAMG
 Referenced in 185 articles
[sw00086]
 BoomerAMG: A parallel algebraic multigrid solver and preconditioner...

CASA
 Referenced in 102 articles
[sw00108]
 CASA is a specialpurpose system for computational...

CGAL
 Referenced in 381 articles
[sw00118]
 The goal of the CGAL Open Source Project...

CLIFFORD
 Referenced in 82 articles
[sw00131]
 CLIFFORD performs various computations in Grass mann and...