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Finite element analysis for a nonlinear diffusion model in image processing
Institution:Dept. of Mathematical Sciences, University of Nevada, Las Vegas 4505 Maryland Parkway, Box 454020, Las Vegas, NV 89154-4020, U.S.A.
Abstract:The optimal error estimate O(hk+1) for a popular nonlinear diffusion model widely used in image processing is proved for the standard kth-order (k ≥ 1) conforming tensor-product finite elements in the L2-norm. The optimal L2-estimate is obtained by the integral identity technique 1–3] without using the classic Nitsche duality argument 4].
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