Bayesian Heuristic Approach To Discrete And Global Optimization Algorithms Visualization Software And Applications(1st Edition)
Authors:
Jonas Mockus, William Eddy, Gintaras Reklaitis
Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New
In Stock: 2 Left
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Book details
ISBN: 1441947671, 978-1441947673
Book publisher: Springer
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CM
This book is an excellent resource for those delving deep into optimization algorithms. The authors have done a stellar job in explaining Bayesian heuristics with clear examples, which demystifies concepts that are often shrouded in complexity. The accompanying visualization software is a huge plus, making it easier to grasp abstract notions. Delivery was swift and the book was well-packaged. I also got an extra discount with my subscription, which was nice. Overall, a must-have for anyone serious about discrete and global optimization.
SS
Bayesian Heuristic Approach To Discrete And Global Optimization presents a solid blend of theory and practical application. The book covers a lot, making it a valuable guide. It arrived quicker than expected, and was in pristine condition. While it could benefit from a few more practical examples, the clarity in its explanations is commendable. Also, taking advantage of my membership benefits made it a more affordable purchase.
VF
Arrived quickly, very informative!





























