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Effective thermal conductivity as a function of domain structure is studied by solving the heat conduction equation using a spectral iterative perturbation algorithm in materials with inhomogeneous thermal conductivity distribution.
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Despite this limitation, we have shown that temporal noise regularisation is an attractive method for noise mitigation of iterative deconvolution-based partial volume correction, as was also shown by Reilhac et al. using a spectral analysis approach.
Color was measured using a spectral scanner (DV, Padova, Italia).
The calculation used a spectral gap of 20 nm.
This paper presents the analysis of multiphysics coupling between periodic gear mesh excitation and upstream/downstream fluctuating loads using an iterative spectral methodology.
This paper investigates the existence and multiplicity of positive solutions of a sixth-order differential system with four variable parameters using a monotone iterative technique and an operator spectral theorem.
Reconstructions were performed using a 4D iterative reconstruction technique based on the split Bregman method.
The PET data were reconstructed using a standard iterative algorithm (OSEM, 28 subsets, 2 iterative steps).
The images were reconstructed using a conventional iterative algorithm (OSEM).
We propose to numerically solve the present problem using a recently developed iterative method known as the spectral local linearization method (SLLM), Motsa [16].
CT image sets were reconstructed using an iterative algorithm [Adaptive Statistical Iterative Reconstruction (ASIR), GE Healthcare].
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