Language: Bengali
Published by Ramakrishna Mission Institute of Culture, 2012
ISBN 10: 8187332743 ISBN 13: 9788187332749
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Language: Bengali
Published by Ramakrishna Mission Institute of Culture, 2012
ISBN 10: 8187332743 ISBN 13: 9788187332749
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Language: Bengali
Published by Ramakrishna Mission Institute of Culture, 2012
ISBN 10: 8187332743 ISBN 13: 9788187332749
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Language: English
Published by Oxford University Press, 2018
ISBN 10: 0199492212 ISBN 13: 9780199492213
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Language: English
Published by Oxford University Press OUP, 2018
ISBN 10: 0199492212 ISBN 13: 9780199492213
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Language: English
Published by Oxford University Press, 2018
ISBN 10: 0199492212 ISBN 13: 9780199492213
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Taschenbuch. Condition: Neu. Neuware - This book represents my endeavour to disseminate financial knowledge and empower individuals to make well-informed investment decisions. Presently, there is a significant lack of awareness surrounding personal finance, leading many to make costly investment errors and incur losses. In my view, personal finance is a crucial component of individual well-being, and reliance on others for investment decisions should be minimized. It is my aspiration that this book will foster a broader understanding of personal finance across all age groups.
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Published by Oxford University Press, 2016
ISBN 10: 019945681X ISBN 13: 9780199456819
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Published by Walter De Gruyter Feb 2026, 2026
ISBN 10: 3119145661 ISBN 13: 9783119145664
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Buch. Condition: Neu. Neuware -The monograph represents peer-reviewed original studies that make significant contributions to various branches of Computational Mathematics and Engineering. Each chapter highlights current trends in its respective research field and offers valuable insights, innovative methodologies, and recent advances in theories and computational applications. Key topics include artificial neural networks, data sciences, fuzzy set theory, numerical optimization techniques, soft computing, computational fluid dynamics and mathematical modelling. Additionally, several AI and machine learning algorithms are included, showcasing noteworthy computational results. This monograph features mathematical content validated by simulation results, enhancing the significance of the book. It serves as a valuable resource for both early-career and experienced researchers tackling complex real-world problems, such as addressing COVID-19 dynamics and solving transportation issues in engineering designs that traditional methods fail to resolve. 236 pp. Englisch.
Language: English
Published by Walter De Gruyter Feb 2026, 2026
ISBN 10: 3119145661 ISBN 13: 9783119145664
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Buch. Condition: Neu. Neuware -The monograph represents peer-reviewed original studies that make significant contributions to various branches of Computational Mathematics and Engineering. Each chapter highlights current trends in its respective research field and offers valuable insights, innovative methodologies, and recent advances in theories and computational applications. Key topics include artificial neural networks, data sciences, fuzzy set theory, numerical optimization techniques, soft computing, computational fluid dynamics and mathematical modelling. Additionally, several AI and machine learning algorithms are included, showcasing noteworthy computational results. This monograph features mathematical content validated by simulation results, enhancing the significance of the book. It serves as a valuable resource for both early-career and experienced researchers tackling complex real-world problems, such as addressing COVID-19 dynamics and solving transportation issues in engineering designs that traditional methods fail to resolve.
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Buch. Condition: Neu. Computational Mathematics in Engineering | Proceedings of ICCMA 2025 | Praveen Kumar Gupta (u. a.) | Buch | De Gruyter Proceedings in Mathematics | VI | Englisch | 2026 | Walter de Gruyter | EAN 9783119145664 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu.
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Published by Walter De Gruyter Feb 2026, 2026
ISBN 10: 3119145661 ISBN 13: 9783119145664
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Buch. Condition: Neu. Neuware -The monograph represents peer-reviewed original studies that make significant contributions to various branches of Computational Mathematics and Engineering. Each chapter highlights current trends in its respective research field and offers valuable insights, innovative methodologies, and recent advances in theories and computational applications. Key topics include artificial neural networks, data sciences, fuzzy set theory, numerical optimization techniques, soft computing, computational fluid dynamics and mathematical modelling. Additionally, several AI and machine learning algorithms are included, showcasing noteworthy computational results. This monograph features mathematical content validated by simulation results, enhancing the significance of the book. It serves as a valuable resource for both early-career and experienced researchers tackling complex real-world problems, such as addressing COVID-19 dynamics and solving transportation issues in engineering designs that traditional methods fail to resolve.Walter de Gruyter, Genthiner Straße 13, 10785 Berlin 236 pp. Englisch.
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | The monograph represents peer-reviewed original studies that make significant contributions to various branches of Computational Mathematics and Engineering. Each chapter highlights current trends in its respective research field and offers valuable insights, innovative methodologies, and recent advances in theories and computational applications. Key topics include artificial neural networks, data sciences, fuzzy set theory, numerical optimization techniques, soft computing, computational fluid dynamics and mathematical modelling. Additionally, several AI and machine learning algorithms are included, showcasing noteworthy computational results. This monograph features mathematical content validated by simulation results, enhancing the significance of the book. It serves as a valuable resource for both early-career and experienced researchers tackling complex real-world problems, such as addressing COVID-19 dynamics and solving transportation issues in engineering designs that traditional methods fail to resolve.
Language: English
Published by Walter De Gruyter Feb 2026, 2026
ISBN 10: 3119145661 ISBN 13: 9783119145664
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Neuware - The monograph represents peer-reviewed original studies that make significant contributions to various branches of Computational Mathematics and Engineering. Each chapter highlights current trends in its respective research field and offers valuable insights, innovative methodologies, and recent advances in theories and computational applications. Key topics include artificial neural networks, data sciences, fuzzy set theory, numerical optimization techniques, soft computing, computational fluid dynamics and mathematical modelling. Additionally, several AI and machine learning algorithms are included, showcasing noteworthy computational results. This monograph features mathematical content validated by simulation results, enhancing the significance of the book. It serves as a valuable resource for both early-career and experienced researchers tackling complex real-world problems, such as addressing COVID-19 dynamics and solving transportation issues in engineering designs that traditional methods fail to resolve.
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Language: English
Published by Walter De Gruyter Feb 2026, 2026
ISBN 10: 3119145661 ISBN 13: 9783119145664
Seller: Books-by-Floh, Paderborn, Germany
Buch. Condition: Neu. Neuware -The monograph represents peer-reviewed original studies that make significant contributions to various branches of Computational Mathematics and Engineering. Each chapter highlights current trends in its respective research field and offers valuable insights, innovative methodologies, and recent advances in theories and computational applications. Key topics include artificial neural networks, data sciences, fuzzy set theory, numerical optimization techniques, soft computing, computational fluid dynamics and mathematical modelling. Additionally, several AI and machine learning algorithms are included, showcasing noteworthy computational results. This monograph features mathematical content validated by simulation results, enhancing the significance of the book. It serves as a valuable resource for both early-career and experienced researchers tackling complex real-world problems, such as addressing COVID-19 dynamics and solving transportation issues in engineering designs that traditional methods fail to resolve. 236 pp. Englisch.
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