On the Optimality in General Sense for Odd-Block Search
Mu-Fa Chen, Dan-Hua Huang

TL;DR
This paper investigates the optimality conditions for odd-block search methods, extending classical Fibonacci search theory by exploring new optimality concepts without fixed test counts.
Contribution
It introduces a new optimality theorem for odd-block search, broadening the understanding of optimal search strategies beyond fixed test scenarios.
Findings
Established a new optimality theorem for odd-block search.
Extended classical Fibonacci search results to more general settings.
Provided theoretical foundations for optimal search without fixed test constraints.
Abstract
In his classical article[3](1953), J.Kiefer introduced the Fibonacci search as a direct optimal method. The optimality was proved under the restriction: the total number of tests is given in advance and fixed. To avoid this restriction, some different concepts of optimality were proposed and some corresponding optimal me\-thods were obtained in [1], [2], [5] and [6]. In particular, the even-block search was treated in [1]. This paper deals with the odd-block search. The main result is Theorem (1.15).
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Taxonomy
TopicsMachine Learning and Algorithms · Optimization and Search Problems · Advanced Image and Video Retrieval Techniques
