Lurch (EP)
Lurch is an EP by Steel Pole Bath Tub, released in 1990 through Boner Records.
Track listing
All songs written and composed by Steel Pole Bath Tub, except "Paranoid" by Black Sabbath.
Personnel
References
External links
Lurch
Lurch may refer to:
Entertainment:
As a nickname:
Other uses:
See also
Lurch (The Addams Family)
Lurch (whose first name is unknown) is a fictional character created by American cartoonist Charles Addams as a manservant to The Addams Family. In the original television series, Lurch was played by Ted Cassidy, who used the famous catchphrase, "You rang?" (a similar phrase was the trademark of the character Maynard G. Krebs in The Many Loves of Dobie Gillis).
When the phrase was delivered in the actor's slow basso profondo voice, producers found it so funny that it was incorporated into the show despite the character having been intended as a non-speaking part. Cassidy also voiced the character in the first animated series, as well as the episode of The New Scooby-Doo Movies cartoon that preceded it.
In the second animated series, Lurch was voiced by Jim Cummings. Carel Struycken played Lurch in the later films. In The New Addams Family series, Lurch was portrayed by Canadian actor John DeSantis. Zachary James recently performed this character in the Broadway musical and Ben Hudson plays the role in the Sydney, Australia, production of the same musical.
LURCH
LURCH is a tool for software design debugging that uses a nondeterministic algorithm to quickly explore the reachable states of a software model. By performing a partial and random search, LURCH looks for faults in the model and reports the pathways leading to the faults.
Explanation
Conventional algorithms
Conventional algorithms for exploring a system's state space are deterministic, in that they have specific decision paths for mapping inputs to outputs. Nondeterministic algorithms, on the other hand, do not have such specific paths, allowing for the same inputs to result in different outputs. Deterministic analysis is often considered safer than nondeterministic methods since it explores all possible system states in an exhaustive and thorough way. Nondeterministic analysis, however, may only explore a subset of the entire state space, and thereby miss some of the possible faults.
Nondeterministic analysis methods
Much evidence supports the notion of clumping (computer science), where the effective state space of a program is small compared to all reachable states. A tool such as LURCH is especially useful in such situations. However, depending on the problem, if clumping does not occur, the nondeterministic approach may not be very effective. Yet in such situations, LURCH can at least report whether performing a nondeterministic search will be safe or not.
Podcasts:
