Abstract
In this chapter, we discuss what is known about bent functions in a small number of variables. Bent functions with not more than 14 variables are considered. We present extended affine classifications of bent functions in n variables and the exact numbers of them (up to n = 8), and give details of some other approaches to classification: in terms of trace forms, by bent rectangles, and by graphs of algebraic normal forms (for quadratic bent functions). Special bent functions (such as nonnormal functions) in a small number of variables are also considered. An overview of algorithms for bent functions generation is presented.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
