Smoothness-increasing accuracy-conserving (SIAC) filtering and quasi-interpolation: a unified view

DOI10.1007/s10915-015-0081-9zbMath1339.65033OpenAlexW1074716178MaRDI QIDQ293112

Jennifer K. Ryan, Robert M. Kirby, Mahsa Mirzargar

Publication date: 9 June 2016

Published in: Journal of Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://ueaeprints.uea.ac.uk/id/eprint/57524/1/SIAC_family.pdf

zbMATH Keywords

numerical examplesimage processingdiscontinuous Galerkin methodsuperconvergenceB-splinesquasi-interpolationsmoothness-increasing accuracy-conserving filtering

Mathematics Subject Classification ID

Numerical computation using splines (65D07) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Numerical interpolation (65D05)

Related Items (9)

Capitalizing on superconvergence for more accurate multi-resolution discontinuous Galerkin methods ⋮ Explicit Least-Degree Boundary Filters for Discontinuous Galerkin ⋮ Hexagonal smoothness-increasing accuracy-conserving filtering ⋮ Magic SIAC Toolbox: A Codebase of Effective, Efficient, and Flexible Filters ⋮ Multi-Dimensional Filtering: Reducing the Dimension Through Rotation ⋮ Data-driven extrapolation via feature augmentation based on variably scaled thin plate splines ⋮ Nonuniform Discontinuous Galerkin Filters via Shift and Scale ⋮ Residual estimates for post-processors in elliptic problems ⋮ Exploiting Superconvergence Through Smoothness-Increasing Accuracy-Conserving (SIAC) Filtering

Cites Work

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