• # BayesGESM

• Referenced in 3 articles [sw22576]
• parametric additive components described by using B-splines; and (ii) Flexible measurement error models under ... parametric components approximated by using B-splines...
• # ConfBands

• Referenced in 34 articles [sw12330]
• effect) nonparametric model, (b) using the mixed-model framework with the spline coefficients as random ... model formulation of penalized splines can help obtain, at least approximately, confidence bands with either...
• # L2CXFT

• Referenced in 9 articles [sw00498]
• derived in $O(n)$ operations. Then, this approximation is used as the starting point ... optimum. The constraints allow $B$-splines to be used, which reduce the problem...
• # PetIGA-MF

• Referenced in 9 articles [sw22643]
• isogeometric discrete differential forms based on B-splines: PetIGA-MF. Built on top of PetIGA ... presented assuring optimal convergence rates of the approximations, showing the accuracy and robustness...
• # CXFTV2

• Referenced in 3 articles [sw00180]
• Fortran subroutine calculates the least squares approximation to n data values containing random errors subject ... distinctive feature of this calculation. A B-spline representation of the iterates reduces each active...
• # hex-ecs

• Referenced in 1 article [sw17656]
• fraction of the ionization threshold to approximately 100 eV or more, depending on the available ... exterior complex scaling method in the B-spline basis...
• # L2CXCV

• Referenced in 2 articles [sw26952]
• sets and takes advantage of a B-spline representation of the smoothed values that allows ... found in calculating a sigmoid approximation, which is a common topic in various contexts...
• # PyFly

• Referenced in 1 article [sw25306]
• simulated domain. We introduce the pointwise approximation approach to simulate the interactions ... enclosure effects, multi-body interactions, and B-spline representation of body shapes. We simulate different...