Title
System Analysis Polynomial Algorithms Optimized For Speed And Minimum Memory.
Abstract
Polynomial evaluation subroutines are the key to fast efficient dynamic system analysis programs. Yet, an examination of the latest software will reveal that the polynomial subroutines use the old standard techniques consisting of either a direct evaluation or Horner's method with complex arithmetic. This report contains new algorithms which are used to design subroutines that will execute in the order of 10-to-1 faster than most subroutines presently used.
Publication Date
1-1-1985
Publication Title
ASEE Annual Conference Proceedings
Volume
1
Number of Pages
60-66
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0021973072 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0021973072
STARS Citation
Simons, Fred O.; Janka, Randall Scott; and Harden, Richard C., "System Analysis Polynomial Algorithms Optimized For Speed And Minimum Memory." (1985). Scopus Export 1980s. 113.
https://stars.library.ucf.edu/scopus1980/113