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Optimal strong convergence rates of numerical methods for semilinear parabolic SPDE driven by Gaussian noise and Poisson random measure.
Jean Daniel Mukam
Antoine Tambue
Published in:
Comput. Math. Appl. (2019)
Keyphrases
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gaussian noise
convergence rate
numerical methods
denoising
noise level
image restoration
differential equations
partial differential equations
signal to noise ratio
gaussian kernels
piecewise smooth
noisy images
dynamic programming
optimal solution
medical images
primal dual
image segmentation
image processing