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Advanced applications in remote sensing of agricultural crops and natural vegetation, Klima, Richard (appalachian State University, Boone, North Carolina, Usa) Klima, Richard E. (appalachian State University, Boone, North Carolina, Usa)


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Цена: 6583.00р.
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Автор: Klima, Richard (appalachian State University, Boone, North Carolina, Usa) Klima, Richard E. (appalachian State University, Boone, North Carolina, Usa)
Название:  Advanced applications in remote sensing of agricultural crops and natural vegetation
ISBN: 9781032477817
Издательство: Taylor&Francis
Классификация:







ISBN-10: 1032477814
Обложка/Формат: Paperback
Страницы: 254
Вес: 0.47 кг.
Дата издания: 21.01.2023
Серия: Chapman and hall/crc financial mathematics series
Язык: English
Издание: 2 ed
Размер: 154 x 234 x 18
Читательская аудитория: Tertiary education (us: college)
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Поставляется из: Европейский союз
Описание: Maintaining the lucid style of its popular predecessor, this concise and accessible introduction covers the probabilistic techniques required to understand the most widely used financial models. Along with additional exercises, this edition presents fully updated material on stochastic volatility models and option pricing.


Advanced Finite Element Methods with Applications

Автор: Thomas Apel; Ulrich Langer; Arnd Meyer; Olaf Stein
Название: Advanced Finite Element Methods with Applications
ISBN: 3030142434 ISBN-13(EAN): 9783030142438
Издательство: Springer
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Цена: 15372.00 р.
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Описание:

Finite element methods are the most popular methods for solving partial differential equations numerically, and despite having a history of more than 50 years, there is still active research on their analysis, application and extension. This book features overview papers and original research articles from participants of the 30th Chemnitz Finite Element Symposium, which itself has a 40-year history. Covering topics including numerical methods for equations with fractional partial derivatives; isogeometric analysis and other novel discretization methods, like space-time finite elements and boundary elements; analysis of a posteriori error estimates and adaptive methods; enhancement of efficient solvers of the resulting systems of equations, discretization methods for partial differential equations on surfaces; and methods adapted to applications in solid and fluid mechanics, it offers readers insights into the latest results.
Advanced Machine Learning Algorithms for Complex Financial Applications

Автор: Mohamed Elhoseny, Mohammad Irfan, Noura Metawa, Salina Kassim
Название: Advanced Machine Learning Algorithms for Complex Financial Applications
ISBN: 1668444844 ISBN-13(EAN): 9781668444849
Издательство: Mare Nostrum (Eurospan)
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Цена: 32017.00 р.
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Описание: The advancements in artificial intelligence and machine learning have significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are becoming more complex within the field of finance. Artificial intelligence and machine learning, with their spectacular success accompanied by unprecedented accuracies, have become increasingly important in the finance world.

Advanced Machine Learning Algorithms for Complex Financial Applications provides innovative research on the roles of artificial intelligence and machine learning algorithms in financial sectors with special reference to complex financial applications such as financial risk management in big data environments. In addition, the book addresses broad challenges in both theoretical and application aspects of artificial intelligence in the field of finance. Covering essential topics such as secure transactions, financial monitoring, and data modeling, this reference work is crucial for financial specialists, researchers, academicians, scholars, practitioners, instructors, and students.


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