Foundations of Mathematical Modelling for Engineering Problem Solving: Studies in Autonomic, Data-driven and Industrial Computing
Autor Parikshit Narendra Mahalle, Nancy Ambritta P., Sachin R. Sakhare, Atul P. Kulkarnien Limba Engleză Paperback – 11 ian 2024
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.
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Specificații
ISBN-13: 9789811988301
ISBN-10: 9811988307
Pagini: 168
Ilustrații: XI, 168 p. 74 illus., 62 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.26 kg
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Seria Studies in Autonomic, Data-driven and Industrial Computing
Locul publicării:Singapore, Singapore
ISBN-10: 9811988307
Pagini: 168
Ilustrații: XI, 168 p. 74 illus., 62 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.26 kg
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Seria Studies in Autonomic, Data-driven and Industrial Computing
Locul publicării:Singapore, Singapore
Cuprins
Introduction.- Problem Solving and Mathematical Modelling.- Decision Problems.- Optimization Problems.- Delay Model Problems.
Notă biografică
Textul de pe ultima copertă
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.
Caracteristici
Provides illustrations and pseudocode for better understanding and applicability Elaborates on the problem solving and mathematical modeling processes Equips the readers with the ability to identify and categorize the problems at hand making it an effortless task