Information geometry applications for optimizing numerical simulations. (30th June 2016)

• Record Type: Journal Article
• Authors: Galanis, George
• Other Names: Barbatis Gerassimos guestEditor.; Dougalis Vassilios guestEditor.; Stratis Ioannis G. guestEditor.
• Is Part Of: Mathematical methods in the applied sciences. Volume 41:Number 3(2018)
• Page Start: 994
• Page End: 997
• Publication Date: 2016-06-30
• Subjects: information geometry -- statistical manifolds -- Kalman filters -- numerical simulation systems; Mathematics -- Periodicals; Technology -- Mathematics -- Periodicals; 519
• DOI: 10.1002/mma.4049
• Languages: English
• ISSNs: 0170-4214

Abstract

Abstract : Recent developments in mathematical modeling provide today a new theoretical framework and state‐of‐the‐art tools for supporting both the corresponding academic research and important socio‐economical applications/activities. Within this framework, the present work focuses on advances in differential, and in particular information, geometry towards the development of non‐conventional models able to support applications in environmental simulation and forecasting. The latter are the scientific areas where a great number of institutes and operational centers worldwide are focusing, providing solutions and new ideas for applications related with meteorology, natural hazards, renewable energy, ship and aviation safety, and a variety of other corresponding activities. Copyright © 2016 John Wiley & Sons, Ltd.