Tools and concepts
Pathways in Mathematics, ISSN: 2367-346X, Page: 19-41
2016
- 14Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures14
- Readers14
- 14
Book Chapter Description
One of the most interesting features of the PAM is that, being a partial differential equation with random coefficients, it lies in the intersection of probability and functional analysis, which opens up exciting possibilities for combining tools from these two different parts of mathematics. Furthermore, there are classic and well-developed mathematical theories that enable explicit solution formulas and the application of further techniques to the study of the PAM. In this chapter, we give an account on these tools and pave the way for a deep understanding and a powerful analysis of the PAM. We bring the probabilistic side in Sect. 2.1 and the functional analytic side in Sect. 2.2. In Sect. 2.3, we discuss a number of aspects and conclusions that immediately follow from a combination of these tools; a panorama of precise conjectures arises.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85090296494&origin=inward; http://dx.doi.org/10.1007/978-3-319-33596-4_2; http://link.springer.com/10.1007/978-3-319-33596-4_2; https://dx.doi.org/10.1007/978-3-319-33596-4_2; https://link.springer.com/chapter/10.1007/978-3-319-33596-4_2
Springer Science and Business Media LLC
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