Finite element analysis for a nonlinear diffusion model in image processing |
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Institution: | Dept. of Mathematical Sciences, University of Nevada, Las Vegas 4505 Maryland Parkway, Box 454020, Las Vegas, NV 89154-4020, U.S.A. |
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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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