• FEMB

  • Referenced in 3 articles [sw19499]
  • Finite Element Methods with B-Splines: Supplementary Material. The small collection of MATLAB programs illustrates ... that the elegance and efficiency of B-spline algorithms, familiar from numerous applications, also prevail ... exceptionally simple data structure of uniform B-splines with its obvious advantages. Most importantly, regardless ... partial differential equations or to provide B-spline software ready to serve potential applications. Instead...
  • BACOLI

  • Referenced in 6 articles [sw13810]
  • Both BACOL and BACOLI implement a B-spline collocation approach for the spatial discretization...
  • IRIT

  • Referenced in 6 articles [sw21528]
  • very strong support for Bezier and B-spline curves and (trimmed) surfaces, IRIT has many...
  • BACOLR

  • Referenced in 6 articles [sw04397]
  • from the spatial discretization (based on B-spline collocation) are handled by a substantially modified...
  • SPLINTER

  • Referenced in 3 articles [sw15719]
  • implementation of the tensor product B-spline. The B-spline consists of piecewise polynomial basis ... high flexibility and smoothness. The B-spline can be fitted to data using ordinary least...
  • GAMBoost

  • Referenced in 5 articles [sw08168]
  • likelihood based boosting, using penalized B-splines...
  • BARS

  • Referenced in 5 articles [sw10487]
  • powerful reversible-jump MCMC engine to perform spline-based generalized nonparametric regression. It has been ... subroutines for fitting Poisson regression, manipulating B-splines (using code created by Bates and Venables...
  • MIRT

  • Referenced in 5 articles [sw31002]
  • Iterative image restoration tools. Methods for B-spline based image registration with regularization to encourage...
  • GRINS

  • Referenced in 5 articles [sw21301]
  • finite element methods, discontinuous Galerkin methods, B-splines, and unfitted finite element techniques...
  • N4itk

  • Referenced in 3 articles [sw18638]
  • certain parameters associated with the B-spline least-squares fitting. We propose the substitution ... recently developed fast and robust B-spline approximation routine and a modified hierarchical optimization scheme...
  • MBA

  • Referenced in 2 articles [sw14694]
  • package MBA: Multilevel B-spline Approximation. Scattered data interpolation with Multilevel B-Splines...
  • bsplinePsd

  • Referenced in 2 articles [sw31798]
  • Bayesian Nonparametric Spectral Density Estimation Using B-Spline Priors. Implementation of a Metropolis-within-Gibbs ... series. The algorithm updates a nonparametric B-spline prior using the Whittle likelihood to produce...
  • HFFEM

  • Referenced in 2 articles [sw10427]
  • approximation based on finite-element and B-spline techniques. It turns out that typically ... iteration steps using B-splines of 6th order, with parallelization speed...
  • BayesGESM

  • Referenced in 2 articles [sw22576]
  • parametric additive components described by using B-splines; and (ii) Flexible measurement error models under ... parametric components approximated by using B-splines...
  • flexrsurv

  • Referenced in 2 articles [sw37929]
  • linear and non-proportional effects using splines (B-spline and truncated power basis). It also...
  • svcm

  • Referenced in 3 articles [sw24570]
  • grid data using either a full B-spline tensor product approach or a sequential approximation...
  • Axl

  • Referenced in 3 articles [sw25792]
  • curves, surfaces or volumes such as b-spline parameterisations, as well as algebraic curves...
  • muDIC

  • Referenced in 3 articles [sw36592]
  • well as for testing during development. B-spline elements are employed for the discretisation...
  • CXFTV2

  • Referenced in 3 articles [sw00180]
  • distinctive feature of this calculation. A B-spline representation of the iterates reduces each active...
  • cpr

  • Referenced in 1 article [sw20286]
  • Package For Finding Parsimonious B-Spline Regression Models via Control Polygon Reduction and Control ... provides tools for selection of parsimonious B-spline regression models via algorithms coined `control polygon ... control net reduction’ (CNR). B-Splines are commonly used in regression models to smooth data ... approximate unknown functional forms. B-Splines are defined by a polynomial order and a knot...