Abstract
To extend one-dimensional algorithms to the multidimensional case, a class of diagonal algorithms thoroughly studied by the authors in the last years is considered in this Chapter. An efficient strategy, which is applied for partitioning the search domain, is described and compared with the existing diagonal partition strategies. This non-redundant diagonal strategy allows one to obtain significant speedup on the required expensive function evaluations with respect to traditional techniques.
The first rule of any technology used in a business is that automation applied to an efficient operation will magnify the efficiency. The second is that automation applied to an inefficient operation will magnify the inefficiency.
Bill Gates
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsAuthor information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2017 The Author(s)
About this chapter
Cite this chapter
Sergeyev, Y.D., Kvasov, D.E. (2017). Diagonal Approach and Efficient Diagonal Partitions. In: Deterministic Global Optimization. SpringerBriefs in Optimization. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7199-2_3
Download citation
DOI: https://doi.org/10.1007/978-1-4939-7199-2_3
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4939-7197-8
Online ISBN: 978-1-4939-7199-2
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)