{"product_id":"foundations-of-mathematical-modelling-for-engineering-problem-solving-9789811988301","title":"Foundations of Mathematical Modelling for Engineering Problem Solving","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThe 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. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 168 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 11 January 2024\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer Verlag, Singapore\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThis 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.\u003cbr\u003e\u003c\/p\u003e\u003ch1\u003eMathematical Modelling Skills Enhancement\u003c\/h1\u003e\u003cbr\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003ch2\u003eUnderstanding Research Problem Categories and Classes\u003c\/h2\u003e\u003cbr\u003e\u003cp\u003eThe 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.\u003c\/p\u003e\u003ch2\u003eApplying Mathematical Models\u003c\/h2\u003e\u003cbr\u003e\u003cp\u003eOnce 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.\u003c\/p\u003e\u003ch2\u003eCase Studies\u003c\/h2\u003e\u003cbr\u003e\u003cp\u003eCase 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.\u003c\/p\u003e\u003ch2\u003eTarget Audience\u003c\/h2\u003e\u003cbr\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003ch1\u003eMathematical Modelling Skills Enhancement\u003c\/h1\u003e\u003cbr\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003ch2\u003eUnderstanding Research Problem Categories and Classes\u003c\/h2\u003e\u003cbr\u003e\u003cp\u003eThe 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.\u003c\/p\u003e\u003ch2\u003eApplying Mathematical Models\u003c\/h2\u003e\u003cbr\u003e\u003cp\u003eOnce 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.\u003c\/p\u003e\u003ch2\u003eCase Studies\u003c\/h2\u003e\u003cbr\u003e\u003cp\u003eCase 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.\u003c\/p\u003e\u003ch2\u003eTarget Audience\u003c\/h2\u003e\u003cbr\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9789811988301\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2023\u003c\/p\u003e","brand":"Parikshit Narendra Mahalle,Nancy Ambritta P.,Sachin R. Sakhare,Atul P. Kulkarni","offers":[{"title":"Paperback \/ softback","offer_id":45860865048826,"sku":"9789811988301","price":108.28,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/files\/1714166692435_book.jpg?v=1714981536","url":"https:\/\/shulphink.com\/products\/foundations-of-mathematical-modelling-for-engineering-problem-solving-9789811988301","provider":"Shulph Ink","version":"1.0","type":"link"}