• Sparse Grid Interpolation

  • Referenced in 34 articles [sw13561]
  • Sparse Grid Interpolation Toolbox is a Matlab toolbox for recovering (approximating) expensive, possibly high-dimensional...
  • Spinterp

  • Referenced in 41 articles [sw00902]
  • recover or approximate smooth multivariate functions, sparse grids are superior to full grids ... describe three possible piecewise multilinear hierarchical interpolation schemes in detail and conduct a numerical comparison ... document the features of our sparse grid interpolation software package spinterp for MATLAB...
  • EpicFlow

  • Referenced in 8 articles [sw31215]
  • dense matching by edge-preserving interpolation from a sparse set of matches; ii) variational energy ... with the dense matches. The sparse-to-dense interpolation relies on an appropriate choice...
  • ffmodstd

  • Referenced in 5 articles [sw27228]
  • using modular methods and sparse multivariate rational interpolation, where the t_i are transcendental over ... using modular algorithms [1] and univariate rational interpolation [2,7]. The procedure is repeated ... polynomials G by applying the sparse multivariate rational interpolation algorithm from [4] coefficient-wise...
  • FRI

  • Referenced in 9 articles [sw07389]
  • Fuzzy rule interpolation Matlab toolbox-FRI toolbox. Fuzzy systems use fuzzy rule base to make ... satisfied, the rule base is considered sparse rule base, i.e. containing gaps. The classical fuzzy ... rule based interpolation (FRI) techniques were introduced to generate inference for sparse fuzzy rule base ... mechanisms for sparse fuzzy rule base systems. Basically, FRI techniques perform interpolative approximate reasoning...
  • k-Wave

  • Referenced in 31 articles [sw07387]
  • given. First, the use of data interpolation is shown to considerably improve time reversal reconstructions ... when the measurement surface has only a sparse array of detector points. Second, by comparison...
  • DELAUNAYSPARSE

  • Referenced in 1 article [sw41722]
  • Algorithm 1012. DELAUNAYSPARSE: interpolation via a sparse subset of the Delaunay triangulation in medium ... OpenMP) for performing medium- to high-dimensional interpolation via the Delaunay triangulation. To accommodate ... sparse subset of the complete Delaunay triangulation, as necessary for performing interpolation at the user...
  • simpl.mpl

  • Referenced in 1 article [sw38884]
  • points in the Newton polytope, construct an interpolation matrix by evaluating parametric expresions, compute kernel ... implicit polynomial. Paper: Sparse implicitization by interpolation: Geometric computations using matrix representations...
  • AmgX

  • Referenced in 14 articles [sw13440]
  • preconditioned iterative methods. The solution of large sparse linear systems arises in many applications, such ... based AMG methods with different selector and interpolation strategies, along with a variety of smoothers...
  • BoltzTraP2

  • Referenced in 1 article [sw37717]
  • relatively sparse grids. It achieves this goal by using smoothed Fourier interpolation. BoltzTraP2...
  • KriSp

  • Referenced in 1 article [sw32851]
  • interpolation of large datasets using covariance tapering. The package KriSp (Kriging with Sparse matrices...
  • HEVC-EPIC

  • Referenced in 1 article [sw27582]
  • estimation from coded video via edge-preserving interpolation. This paper presents a method leveraging coded ... sparse set of features between two frames, and then use an edge-preserving interpolation scheme...
  • LatticeKrig

  • Referenced in 8 articles [sw15594]
  • estimates that can come close to interpolating the observations (a spatial model with a small ... basis coefficients. These features lead to sparse matrices for the computations and this package makes...
  • FLEXMG

  • Referenced in 1 article [sw00295]
  • direct sparse LU solver as a reference. Finally, the importance of using smooth interpolation operators...
  • BoRiS

  • Referenced in 3 articles [sw06562]
  • Finite Volume Methods leads to large sparse linear systems of equations. Different iterative solvers (Krylov ... scaling and memory requirements. Different schemes for interpolation of fluxes and gradients on scattered...
  • inpaint_nans

  • Referenced in 1 article [sw22531]
  • nans offers several different approaches to the interpolation, which give tradeoffs in accuracy versus speed ... found in inpaint_nans are based on sparse linear algebra and PDE discretizations. In essence...
  • LaplaceInterpolation.jl

  • Referenced in 1 article [sw41226]
  • radial basis function approach to interpolation, but interpolation using these kernels involves systems of equations ... replace the dense operator with a sparse one and thus obtain an approximation...
  • reanalysis_surge_extremes

  • Referenced in 1 article [sw39183]
  • address the limitations posed by the spatiotemporal sparseness of the observational record. We achieve this ... reduction in estimation uncertainty; 2) it permits interpolation of both the extreme values...
  • ADOL-C

  • Referenced in 249 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...
  • AMD

  • Referenced in 60 articles [sw00039]
  • Algorithm 837: AMD is a set of routines...