Black Box Optimization Machine Learning and No Free Lunch Theorems is popular PDF and ePub book, written by Panos M. Pardalos in 2021-05-27, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Black Box Optimization Machine Learning and No Free Lunch Theorems can be Read Online from any device for your convenience.
Black Box Optimization Machine Learning and No Free Lunch Theorems Book PDF Summary
This edited volume illustrates the connections between machine learning techniques, black box optimization, and no-free lunch theorems. Each of the thirteen contributions focuses on the commonality and interdisciplinary concepts as well as the fundamentals needed to fully comprehend the impact of individual applications and problems. Current theoretical, algorithmic, and practical methods used are provided to stimulate a new effort towards innovative and efficient solutions. The book is intended for beginners who wish to achieve a broad overview of optimization methods and also for more experienced researchers as well as researchers in mathematics, optimization, operations research, quantitative logistics, data analysis, and statistics, who will benefit from access to a quick reference to key topics and methods. The coverage ranges from mathematically rigorous methods to heuristic and evolutionary approaches in an attempt to equip the reader with different viewpoints of the same problem.
Detail Book of Black Box Optimization Machine Learning and No Free Lunch Theorems PDF
- Author : Panos M. Pardalos
- Release : 27 May 2021
- Publisher : Springer Nature
- ISBN : 9783030665159
- Genre : Mathematics
- Total Page : 388 pages
- Language : English
- PDF File Size : 14,8 Mb
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