Advances in High-Order Predictive Modeling: Methodologies and Illustrative Problems (Advances in Applied Mathematics) - Tapa dura

Cacuci, Dan Gabriel

 
9781032740560: Advances in High-Order Predictive Modeling: Methodologies and Illustrative Problems (Advances in Applied Mathematics)
Tapa dura
ISBN 10: 1032740566 ISBN 13: 9781032740560
Editorial: Chapman and Hall/CRC, 2024

Sinopsis

Continuing the author's previous work on modeling, this book presents the most recent advances in high-order predictive modeling.

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Acerca del autor

Dan Gabriel Cacuci is a Distinguished Professor Emeritus in the Department of Mechanical Engineering at the University of South Carolina and the Karlsruhe Institute of Technology, Germany. He received his PhD in applied physics, mechanical and nuclear engineering from Columbia University. He is also the recipient of many awards including four honorary doctorates, the Ernest Orlando Lawrence Memorial award from the U.S. Deptartment of Energy and the Arthur Holly Compton, Eugene P. Wigner and the Glenn Seaborg Awards from the American Nuclear Society. He was named an “Inaugural Highly Ranked Scholar” by Scholar GPS, being ranked #2 in the world in the field of Uncertainty Analysis, #5 in the world in the field of Sensitivity Analysis, and ranked in the top 0.05% of all scholars worldwide.

This is Dr. Cacuci’s fifth book for CRC Press. The others include, The Second-Order Adjoint Sensitivity Analysis Methodology (2018); Computational Methods for Data Evaluation and Assimilation with Ionel Michael Navon and Mihaela Ionescu-Bujor (2013); Sensitivity and Uncertainty Analysis, Volume I Applications to Large-Scale Systems (2003) and Volume II (2005) also with Mihaela Ionescu-Bujor and Michael Navon.

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Editorial
Chapman and Hall/CRC
Año de publicación
2024
Idioma
Inglés
ISBN 10 
1032740566
ISBN 13 
9781032740560
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
304
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
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