Foundations of Mathematical Modelling for Engineering Problem Solving/ by Parikshit Narendra Mahalle, Nancy Ambritta P., Sachin R. Sakhare, Atul P. Kulkarni.
Mahalle, Parikshit N., author.; Ambritta P., Nancy, author.; Sakhare, Sachin R., author.; Kulkarni, Atul P., author.
2023
TA342
Available Online

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Title Foundations of Mathematical Modelling for Engineering Problem Solving/ by Parikshit Narendra Mahalle, Nancy Ambritta P., Sachin R. Sakhare, Atul P. Kulkarni.
Author Mahalle, Parikshit N., author.
Edition 1st ed. 2023.
ISBN 9789811988288 (electronic bk.)
9811988285 (electronic bk.)
9789811988271
9811988277
DOI https://doi.org/10.1007/978-981-19-8828-8
Published Singapore : Springer, [2023]
Copyright ©2023
Language English
Description 1 online resource (xi, 168 pages) : illustrations (chiefly color).
Other Standard Identifiers 10.1007/978-981-19-8828-8 doi
Call Number TA342
Dewey Decimal Classification 620.001/5118
Summary 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.
Access Note Access limited to authorized users.
Added Author Ambritta P., Nancy, author.
Sakhare, Sachin R., author.
Kulkarni, Atul P., author.
Series Studies in Autonomic, Data-driven and Industrial Computing. 2730-6445
Available in Other Form Printed edition 9789811988271
Printed edition 9789811988295
Printed edition 9789811988301
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Introduction
Problem Solving and Mathematical Modelling
Decision Problems
Optimization Problems
Delay Model Problems.

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