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Multiscale Modeling and Simulation is a peer-reviewed journal published by SIAM, covering Advanced Mathematical Modeling in Engineering, Advanced Numerical Methods in Computational Mathematics, Composite Material Mechanics. Over its lifetime it has published 1,358 papers, which have received 48,923 citations.
| Publisher | SIAM |
|---|---|
| Reference style | Numbered (SIAM) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, A representative article title, Multiscale Modeling and Simulation 12 (2023) 45–58.
Formats any DOI in the closest standard style — Multiscale Modeling and Simulation has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Advanced Mathematical Modeling in Engineering Advanced Numerical Methods in Computational Mathematics Composite Material Mechanics Numerical methods in inverse problems Theoretical and Computational Physics |
| ISSN | 1540-3459 |
| Citation impact (2-yr) | 2.04 |
| h-index | 87 |
| i10-index | 704 |
| Top institutions publishing here | California Institute of Technology |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract. The search for efficient image denoising methods is still a valid challenge at the crossing of functional analysis and statistics. In spite of the sophistication of the recently proposed methods, most algorithms have not yet attained a desirable level of applicability. All show an outstanding performance when the image model corresponds to the algorithm…
We show that various inverse problems in signal recovery can be formulated as the generic problem of minimizing the sum of two convex functions with certain regularity properties. This formulation makes it possible to derive existence, uniqueness, characterization, and stability results in a unified and standardized fashion for a large class of apparently disparate problems.…
This paper describes two digital implementations of a new mathematical transform, namely, the second generation curvelet transform in two and three dimensions. The first digital transformation is based on unequally spaced fast Fourier transforms, while the second is based on the wrapping of specially selected Fourier samples. The two implementations essentially differ by the choice…
Abstract. We introduce a new iterative regularization procedure for inverse problems based on the use of Bregman distances, with particular focus on problems arising in image processing. We are motivated by the problem of restoring noisy and blurry images via variational methods by using total variation regularization. We obtain rigorous convergence results and effective stopping…
Density functional theory offers a very accurate way of computing materials properties from first principles. However, it is too expensive for modeling large-scale molecular systems whose properties are, in contrast, computed using interatomic potentials. The present paper considers, from a mathematical point of view, the problem of constructing interatomic potentials that approximate a given quantum-mechanical…
