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Inverse Problems in Science and Engineering is a peer-reviewed journal published by Taylor & Francis, covering Numerical methods in inverse problems, Structural Health Monitoring Techniques, Ultrasonics and Acoustic Wave Propagation.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Numbered (Vancouver/NLM) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C. A representative article title. Inverse Problems in Science and Engineering. 2023;12(3):45–58.
Formats any DOI in Inverse Problems in Science and Engineering style. No sign-up. |
| Publishes research in | Numerical methods in inverse problems Structural Health Monitoring Techniques Ultrasonics and Acoustic Wave Propagation Numerical methods in engineering Advanced Mathematical Modeling in Engineering |
| ISSN | 1741-5977 |
| h-index | 43 |
| i10-index | 555 |
| Total citations | 15,979 |
| Top institutions publishing here | Centre National de la Recherche Scientifique |
| Journal website | www.tandfonline.com |
| 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.
An algorithm to solve the inverse problem of detecting inclusion interfaces in a piezoelectric structure is proposed. The material interfaces are implicitly represented by level sets which are identified by applying regularization using total variation penalty terms. The inverse problem is solved iteratively and the extended finite element method is used for the analysis of…
The method of fundamental solutions (MFS) is a relatively new method for the numerical solution of boundary value problems and initial/boundary value problems governed by certain partial differential equations. The ease with which it can be implemented and its effectiveness have made it a very popular tool for the solution of a large variety of…
Reducing the acquisition time is important for clinical magnetic resonance imaging (MRI). Compressed sensing has recently emerged as a theoretical foundation for the reconstruction of magnetic resonance images from undersampled k-space measurements, assuming those images are sparse in a certain transform domain. However, most real-world signals are compressible rather than exactly sparse. For example, the…
Regression analysis is a widely used statistical method for modelling relationships between variables. Multivariate adaptive regression splines (MARS) especially is very useful for high-dimensional problems and fitting nonlinear multivariate functions. A special advantage of MARS lies in its ability to estimate contributions of some basis functions so that both additive and interactive effects of the…
In this article a meshless numerical scheme for solving the backward heat conduction problem (BHCP) is proposed. The numerical solution is developed by using the fundamental solution of the heat equation as a basis function. The standard Tikhonov regularization technique and the L-curve method are adopted for solving the resultant ill-conditioned system of linear algebraic…
