Foundations of Mathematical Modelling for Engineering Problem Solving / Studies in Autonomic, Data-driven and Industrial Computing (PDF)
(Sprache: Englisch)
This book aims at improving the mathematical modelling skills of users by enhancing the ability to understand, connect, apply and use the mathematical concepts to the problem at hand. This book provides the readers with an in-depth knowledge of the various...
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Produktinformationen zu „Foundations of Mathematical Modelling for Engineering Problem Solving / Studies in Autonomic, Data-driven and Industrial Computing (PDF)“
This book aims at improving the mathematical modelling skills of users by enhancing the ability to understand, connect, apply and use the mathematical concepts to the problem at hand. This book provides the readers with an in-depth knowledge of the various categories/classes of research problems that professionals, researchers and students might encounter following which the applications of appropriate mathematical models is explained with the help of case studies. The book is targeted at academicians, researchers, students and professionals who belong to all engineering disciplines.
Autoren-Porträt von Parikshit Narendra Mahalle, Nancy Ambritta P., Sachin R. Sakhare, Atul P. Kulkarni
Bibliographische Angaben
- Autoren: Parikshit Narendra Mahalle , Nancy Ambritta P. , Sachin R. Sakhare , Atul P. Kulkarni
- 2023, 1st ed. 2023, 168 Seiten, Englisch
- Verlag: Springer Nature Singapore
- ISBN-10: 9811988285
- ISBN-13: 9789811988288
- Erscheinungsdatum: 10.01.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 6.24 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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