{"product_id":"proceedings-of-the-forum-mathforindustry-2018-big-data-analysis-ai-fintech-math-in-finances-and-economics-9789811655784","title":"Proceedings of the Forum \"Math-for-Industry\" 2018: Big Data Analysis, AI, Fintech, Math in Finances and Economics","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThis volume includes selected technical papers presented at the Forum \"Math-for-Industry\" 2018, discussing the role of mathematics-for-industry in interdisciplinary research to develop new methods. The contents are useful for researchers in academia and industry. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 179 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 19 December 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer Verlag, Singapore\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThis comprehensive volume presents a selection of outstanding technical papers that were presented at the prestigious Forum \"Math-for-Industry\" 2018. The papers, authored by renowned researchers and scholars in the field of industrial mathematics, delve into various aspects, including financial mathematics, machine learning, neural networks, inverse problems, stochastic modeling, and more. Through their insightful discussions, the authors highlight the profound impact of science, technology, engineering, and mathematics on industry and emphasize the expected utilization of these disciplines in the future.\u003cbr\u003e\u003cbr\u003eThe central theme of this volume revolves around the role of mathematics-for-industry in fostering interdisciplinary research and the development of innovative methods. The contents of this publication are invaluable for researchers from both academia and industry, as they explore the potential of mathematics to bridge different fields and contribute to the advancement of various industries.\u003cbr\u003e\u003cbr\u003eThe papers presented in this volume cover a wide range of topics, ranging from applied mathematics to computational science and engineering. Each paper offers a unique perspective and contributes to the ongoing dialogue between mathematics and industry. The authors employ cutting-edge techniques and methodologies to address complex industrial problems, demonstrating the power of mathematics in driving innovation and progress.\u003cbr\u003e\u003cbr\u003eOne of the key highlights of this volume is its emphasis on the interdisciplinary nature of mathematics-for-industry. The authors recognize the importance of collaboration and teamwork in addressing the complex challenges faced by industries today. By bringing together experts from diverse fields, mathematics-for-industry fosters a rich exchange of ideas and promotes the development of novel solutions.\u003cbr\u003e\u003cbr\u003eFurthermore, the papers in this volume showcase the practical applications of mathematics in industry. The authors demonstrate how mathematics can be used to optimize processes, improve decision-making, and enhance efficiency in various sectors, such as finance, healthcare, manufacturing, and transportation. The insights and methodologies presented in these papers have the potential to revolutionize the way industries operate and drive economic growth.\u003cbr\u003e\u003cbr\u003eIn conclusion, this comprehensive volume serves as a valuable resource for researchers, scholars, and practitioners interested in the intersection of mathematics and industry. The papers presented herein provide a deep understanding of the role of mathematics in driving innovation and progress, and they offer valuable insights into the future of mathematics-for-industry. By fostering interdisciplinary research and promoting collaboration, this volume contributes to the advancement of various industries and promotes the development of a more knowledge-based economy.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 308g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9789811655784\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2021\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Paperback \/ softback","offer_id":44295258734842,"sku":"9789811655784","price":124.94,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_d4ffc5c6-47d2-440c-b479-32e101150e40.jpg?v=1687523221","url":"https:\/\/shulphink.com\/products\/proceedings-of-the-forum-mathforindustry-2018-big-data-analysis-ai-fintech-math-in-finances-and-economics-9789811655784","provider":"Shulph Ink","version":"1.0","type":"link"}