artificial compression method
Recently Published Documents


TOTAL DOCUMENTS

15
(FIVE YEARS 2)

H-INDEX

5
(FIVE YEARS 0)

2020 ◽  
Vol 28 (3) ◽  
pp. 175-192
Author(s):  
William Layton ◽  
Michael McLaughlin

AbstractThis report presents adaptive artificial compression methods in which the time-step and artificial compression parameter ε are independently adapted. The resulting algorithms are supported by analysis and numerical tests. The first and second-order methods are embedded. As a result, the computational, cognitive, and space complexities of the adaptive ε, k algorithms are negligibly greater than that of the simplest, first-order, constant ε, constant k artificial compression method.


Sign in / Sign up

Export Citation Format

Share Document