Methods and Applications of Autonomous Experimentation (Chapman & Hall/CRC Computational Science) - Tapa dura

 
9781032314655: Methods and Applications of Autonomous Experimentation (Chapman & Hall/CRC Computational Science)

Sinopsis

Illustrating theoretical foundations and incorporating practitioners’ first-hand experience, book is a practical guide to successful Autonomous Experimentation.

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Acerca del autor

Marcus M. Noack received his Ph.D. in applied mathematics from Oslo University, Norway. At Lawrence Berkeley National Laboratory, he is working on stochastic function approximation, optimization and uncertainty quantification, applied to Autonomous Experimentation.

Daniela Ushizima, Ph.D. in physics from the University of Sao Paulo, Brazil after majoring in computer science, has been associated with Lawrence Berkeley National Laboratory since 2007, where she investigates machine learning algorithms applied to image processing. Her primary focus has been on developing computer vision software to automate scientific data analysis.

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Otras ediciones populares con el mismo título

9781032417530: Methods and Applications of Autonomous Experimentation (Chapman & Hall/CRC Computational Science)

Edición Destacada

ISBN 10:  1032417536 ISBN 13:  9781032417530
Editorial: Chapman and Hall/CRC, 2025
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