Foundations of Mathematical Modelling for Engineering Problem Solving (Studies in Autonomic, Data-driven and Industrial Computing) book cover by Parikshit Narendra Mahalle, Nancy Ambritta P., Sachin R. Sakhare, Atul P. Kulkarni

Foundations of Mathematical Modelling for Engineering Problem Solving (Studies in Autonomic, Data-driven and Industrial Computing) [9789811988271]

Name: Foundations of Mathematical Modelling for Engineering Problem Solving (Studies in Autonomic, Data-driven and Industrial Computing) [9789811988271]
SKU: 9789811988271
Availability: InStock

Author: Parikshit Narendra Mahalle Nancy Ambritta P. Sachin R. Sakhare Atul P. Kulkarni

Hardcover

SKU: 9789811988271

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Format Sturdy and long-lasting. Ideal for libraries and classrooms, and a polished choice for corporate gifts, leadership programs, or event takeaways.

Hardcover

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Overview

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.

The book, Foundations of Mathematical Modelling for Engineering Problem Solving (Studies in Autonomic, Data-driven and Industrial Computing) [Bulk, Wholesale, Quantity] ISBN#9789811988271 in Hardcover by Parikshit Narendra Mahalle, Nancy Ambritta P., Sachin R. Sakhare, Atul P. Kulkarni may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Author:

Parikshit Narendra Mahalle Nancy Ambritta P. Sachin R. Sakhare Atul P. Kulkarni

Format:

Hardcover

Publication Date:

01/11/2023

ISBN-13:

9789811988271

Pages:

168

Publisher:

Springer Nature Singapore

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