Result: Densification of Witnesses for Randomized Algorithm Design

Title:
Densification of Witnesses for Randomized Algorithm Design
Authors:
Source:
Journal of Advances in Mathematics and Computer Science. 38:44-69
Publisher Information:
Sciencedomain International, 2023.
Publication Year:
2023
Document Type:
Academic journal Article
ISSN:
2456-9968
DOI:
10.9734/jamcs/2023/v38i101823
Accession Number:
edsair.doi...........8ef3de6afc04f9732b4f4eec8a552c85
Database:
OpenAIRE

Further Information

This paper investigates the densification of witnesses for randomized algorithm design and its application in factoring integers. By defining a set operation named with Cartesian subtraction on two countable sets and proving several properties of the operation, it is shown that the Cartesian subtraction can densify certain elements in a countable set so as to promote the abundance of witnesses for the randomized algorithm design. It is also proven that the Cartesian subtraction of two sets containing consecutive integers can form a triangular lattice zone that has a higher density of witnesses. Through designing an algorithm of a two-dimensional simple random walk on the triangular lattice zone, it is demonstrated that composite integers can be factored by means of the random walk. The study of the paper explores a pathway feasible and workable to densify the small witnesses in a countable set for randomized algorithm designs.