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Mathematical Modeling for Data Science
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Mathematical Modeling for Data Science : N2ADS, Athens, Greece, April, 7–8, 2025 and M2A25, Marrakech, Morocco, February, 18–20, 2025

Book Details

Format Hardback or Cased Book
ISBN-10 3032205042
ISBN-13 9783032205049
Publisher Springer Nature Switzerland AG
Imprint Springer Nature Switzerland AG
Country of Manufacture GB
Country of Publication GB
Publication Date Sep 8th, 2026
Print length 382 Pages
Ksh 32,400.00
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This book presents selected chapters presented in two international conferences where more than 20 countries are represented by more than 100 participants, consisting of academic researchers and scientists working in industry. The conferences cover different areas related to the application of numerical analysis to practical problems in engineering, industry, environment, medical imaging, and new image and information technologies. Participants shared their recent contributions and their experience in different fields. The plenary speakers are very well known and most of them are editors or editors in chief of prestigious international journals (L. Reichel, Y. Saad, D. Szyld, H. Sadok, S. Serra-Capizzano….)Description of the volume—The subject of the book is to present selected papers, using two referees for each paper, that were presented during the two conference m2a25 held in Marrakech on February 2025 and n2ads held in Athens on April 2025. The accepted papers were in the topics of the conferences with special applications to data science. The topics of interested were• Completion Methods and Applications to Data Science. • Inverse-Ill-posed Problems, Optimization. • Applied Statistics, Applications to Engineering, Biodiversity, Imaging, Big Data, Machine Learning,This book offers numerous benefits to future readers, particularly those interested in data driven. Readers gain a deep understanding of the mathematical principles that under data science techniques. This foundation help them not only use algorithms effectively but also understand why and how these algorithms work.

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