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Recent Developments in Stochastic Numerics and Computational Finance (ICIAM2023 Springer Series, 6) - Hardcover
Synopsis
This book presents a collection of recent advances in stochastic numerical analysis and computational finance. Stochastic numerical methods have played a pivotal role in probability theory, statistics, and applied mathematics, particularly in the rapidly evolving fields of machine learning and data science. They have also achieved significant success in computational finance. The volume highlights cutting-edge developments in numerical techniques for stochastic differential equations and stochastic models in finance. This collection offers valuable insights for researchers and practitioners seeking to deepen their understanding of stochastic modeling and its applications in finance and beyond.
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About the Author
Jiro Akahori is a professor of Graduate School of Mathematical Sciences at Ritsumeikan University.
Syoiti Ninomiya is a professor of Department of Mathematics, Institute of Science Tokyo.
Toshihiro Yamada is a professor of Graduate School of Economics at Hitotsubashi University.
From the Back Cover
This book presents a collection of recent advances in stochastic numerical analysis and computational finance. Stochastic numerical methods have played a pivotal role in probability theory, statistics, and applied mathematics, particularly in the rapidly evolving fields of machine learning and data science. They have also achieved significant success in computational finance. The volume highlights cutting-edge developments in numerical techniques for stochastic differential equations and stochastic models in finance. This collection offers valuable insights for researchers and practitioners seeking to deepen their understanding of stochastic modeling and its applications in finance and beyond.
"About this title" may belong to another edition of this title.
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Recent Developments in Stochastic Numerics and Computational Finance (eng)
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Recent Developments in Stochastic Numerics and Computational Finance
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a collection of recent advances in stochastic numerical analysis and computational finance. Stochastic numerical methods have played a pivotal role in probability theory, statistics, and applied mathematics, particularly in the rapidly evolving fields of machine learning and data science. They have also achieved significant success in computational finance. The volume highlights cutting-edge developments in numerical techniques for stochastic differential equations and stochastic models in finance. This collection offers valuable insights for researchers and practitioners seeking to deepen their understanding of stochastic modeling and its applications in finance and beyond. 124 pp. Englisch. Seller Inventory # 9789819506514
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Recent Developments in Stochastic Numerics and Computational Finance
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a collection of recent advances in stochastic numerical analysis and computational finance. Stochastic numerical methods have played a pivotal role in probability theory, statistics, and applied mathematics, particularly in the rapidly evolving fields of machine learning and data science. They have also achieved significant success in computational finance. The volume highlights cutting-edge developments in numerical techniques for stochastic differential equations and stochastic models in finance. This collection offers valuable insights for researchers and practitioners seeking to deepen their understanding of stochastic modeling and its applications in finance and beyond. Seller Inventory # 9789819506514
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Recent Developments in Stochastic Numerics and Computational Finance
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a collection of recent advances in stochastic numerical analysis and computational finance. Stochastic numerical methods have played a pivotal role in probability theory, statistics, and applied mathematics, particularly in the rapidly evolving fields of machine learning and data science. They have also achieved significant success in computational finance. The volume highlights cutting-edge developments in numerical techniques for stochastic differential equations and stochastic models in finance. This collection offers valuable insights for researchers and practitioners seeking to deepen their understanding of stochastic modeling and its applications in finance and beyond.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 132 pp. Englisch. Seller Inventory # 9789819506514
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