Bayesian Optimization with Application to Computer Experiments
Grāmatas informācija
| Autors | Tony Pourmohamad |
|---|---|
| Izdevējs | Springer Nature Switzerland AG |
| Izdošanas gads | 2021 m. |
| Valoda | Angļu |
| Lappuses | 104 psl. |
| Formāts | Mīkstajos vākos |
| Izdevums | 1st ed. 2021 |
| ISBN | 9783030824570 |
Par grāmatu
Discover the cutting-edge world of Bayesian optimization with Bayesian Optimization with Application to Computer Experiments by Tony Pourmohamad. Published in 2021 by Springer Nature Switzerland AG, this insightful paperback spans 104 pages and serves as an essential resource for both practitioners and researchers.
In this first edition, Pourmohamad expertly guides readers through the fundamental concepts of Bayesian optimization, emphasizing recent advancements and their impactful applications in computer experiments. Whether you are looking to enhance your understanding of this powerful methodology or seeking innovative solutions for complex problems, this book provides a comprehensive overview that is both informative and engaging.
Unlock the potential of Bayesian optimization and elevate your projects to new heights with this vital addition to your library.