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

Foundations of Mathematical Modelling for Engineering Problem Solving

Foundations of Mathematical Modelling for Engineering Problem Solving

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  • More about Foundations of Mathematical Modelling for Engineering Problem Solving

The book aims to improve mathematical modelling skills for users by understanding, connecting, applying, and using mathematical concepts to solve problems, with case studies in various engineering disciplines.

Format: Paperback / softback
Length: 168 pages
Publication date: 11 January 2024
Publisher: Springer Verlag, Singapore


This book is designed to enhance the mathematical modelling skills of users by improving their ability to understand, connect, apply, and use mathematical concepts to solve real-world problems. It provides a comprehensive understanding of various research problem categories and classes, followed by the application of appropriate mathematical models through case studies. The book is intended for academicians, researchers, students, and professionals across all engineering disciplines.

Mathematical Modelling Skills Enhancement


This book aims to improve the mathematical modelling skills of users by enhancing their ability to understand, connect, apply, and use mathematical concepts to solve real-world problems. It provides a comprehensive understanding of various research problem categories and classes, followed by the application of appropriate mathematical models through case studies. The book is intended for academicians, researchers, students, and professionals across all engineering disciplines.

Understanding Research Problem Categories and Classes


The book begins by introducing the reader to the various research problem categories and classes. These categories include engineering, natural sciences, social sciences, and humanities. Each category is explained in detail, including its characteristics, challenges, and potential solutions. The reader is then provided with examples of research problems in each category to illustrate the concepts.

Applying Mathematical Models


Once the reader has a good understanding of the research problem categories and classes, the book moves on to the application of mathematical models. Mathematical models are used to represent and analyze complex systems and phenomena. The book provides a step-by-step guide to developing and implementing mathematical models, including problem formulation, model building, and model validation. Case studies are used to illustrate the application of mathematical models in real-world situations.

Case Studies


Case studies are an essential part of this book. They provide the reader with a real-world context in which to apply the mathematical models. Each case study is presented in a clear and concise manner, with a description of the problem, the mathematical model used, and the results obtained. The reader is then encouraged to analyze the results and draw conclusions. Case studies cover a wide range of topics, including transportation, energy, finance, and healthcare.

Target Audience


This book is targeted at academicians, researchers, students, and professionals who belong to all engineering disciplines. It is designed to provide a comprehensive understanding of mathematical modelling skills and their application to real-world problems. The book is suitable for both beginners and experienced practitioners.

Mathematical Modelling Skills Enhancement


This book aims to improve the mathematical modelling skills of users by enhancing their ability to understand, connect, apply, and use mathematical concepts to solve real-world problems. It provides a comprehensive understanding of various research problem categories and classes, followed by the application of appropriate mathematical models through case studies. The book is intended for academicians, researchers, students, and professionals across all engineering disciplines.

Understanding Research Problem Categories and Classes


The book begins by introducing the reader to the various research problem categories and classes. These categories include engineering, natural sciences, social sciences, and humanities. Each category is explained in detail, including its characteristics, challenges, and potential solutions. The reader is then provided with examples of research problems in each category to illustrate the concepts.

Applying Mathematical Models


Once the reader has a good understanding of the research problem categories and classes, the book moves on to the application of mathematical models. Mathematical models are used to represent and analyze complex systems and phenomena. The book provides a step-by-step guide to developing and implementing mathematical models, including problem formulation, model building, and model validation. Case studies are used to illustrate the application of mathematical models in real-world situations.

Case Studies


Case studies are an essential part of this book. They provide the reader with a real-world context in which to apply the mathematical models. Each case study is presented in a clear and concise manner, with a description of the problem, the mathematical model used, and the results obtained. The reader is then encouraged to analyze the results and draw conclusions. Case studies cover a wide range of topics, including transportation, energy, finance, and healthcare.

Target Audience


This book is targeted at academicians, researchers, students, and professionals who belong to all engineering disciplines. It is designed to provide a comprehensive understanding of mathematical modelling skills and their application to real-world problems. The book is suitable for both beginners and experienced practitioners.


Dimension: 235 x 155 (mm)
ISBN-13: 9789811988301
Edition number: 1st ed. 2023

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