sparse gridquasi-interpolationkernelradial basis functionapproximation orderIn this study, we present a new class of quasi-interpolation schemes for the approximation of multivariate functions on sparse grids. Each scheme in this class is based on shifts of kernels constructed from one-dimensional radial...
The method parameter above determines the interpolation method used when sampling the volume.VKL_AMR_CURRENT finds the finest refinement level at that cell and interpolates through this “current” level VKL_AMR_FINEST will interpolate at the closest existing cell in the volume-wide finest ...
The rtcInterpolate function cannot get used on the device, and vertex data interpolation should get implemented by the application. Indirectly called functions must be declared with RTC_SYCL_INDIRECTLY_CALLABLE when used as filter or user geometry callbacks. Embree API Reference rtcNewDevice NAME rtc...
Cubic spline-based interpolation in ILP64 interface was optimized up to 8x times on Intel® Xeon® Processor supporting Intel® Advanced Vector Extensions 512 (Intel® AVX-512) (codename Skylake Server) and 2.5x on Intel® Xeon Phi™ processor 72** (formerly Knights Landing)Documentation...
Cubic spline-based interpolation in ILP64 interface was optimized up to 8x times on Intel® Xeon® Processor supporting Intel® Advanced Vector Extensions 512 (Intel® AVX-512) (codename Skylake Server) and 2.5x on Intel® Xeon Phi™ processor 72** (formerly Knights Landing)Documentation...
suited for interpolation tasks. Our second randomized map, presented in Section 4, partitions the input space using randomly shifted grids at randomly chosen resolutions. This mapping is not smooth, but leverages the proximity between input points, and is well-suited for approximating ker- nels that...
kernel-based interpolationradial basis functionsmultileveld-boolean interpolationsparse gridshyperbolic crossesA multilevel kernel-based interpolation method, suitable for moderately high-dimensional function interpolation problems, is proposed. The method, termed multilevel sparse kernel-based interpolation (ML...
Sparse gridsRadial basis functionsHigh dimensional approximationInterpolationA new stochastic collocation finite element method is proposed for the numerical solution of elliptic boundary value problems (BVP) with random coefficients, assuming that the randomness is well-approximated by a finite number of ...
The method parameter above determines the interpolation method used when sampling the volume.VKL_AMR_CURRENT finds the finest refinement level at that cell and interpolates through this “current” level VKL_AMR_FINEST will interpolate at the closest existing cell in the volume-wide finest ...
The method parameter above determines the interpolation method used when sampling the volume.VKL_AMR_CURRENT finds the finest refinement level at that cell and interpolates through this “current” level VKL_AMR_FINEST will interpolate at the closest existing cell in the volume-wide finest ...