Search results
Results from the WOW.Com Content Network
Conceptually, it repeatedly selects a source of the dependency graph, appends it to the current instruction schedule and removes it from the graph. This may cause other vertices to be sources, which will then also be considered for scheduling. The algorithm terminates if the graph is empty. To arrive at a good schedule, stalls should be prevented.
The first use of an instrument variable occurred in a 1928 book by Philip G. Wright, best known for his excellent description of the production, transport and sale of vegetable and animal oils in the early 1900s in the United States.
In the largest U.S. study, which used data from a statewide registry of birth defects, [17] 6.2% of IVF-conceived children had major defects, as compared with 4.4% of naturally conceived children matched for maternal age and other factors (odds ratio, 1.3; 95% confidence interval, 1.00 to 1.67). [13]
Independent of BCL, there are Python and MATLAB interfaces. Next to Mosel, Xpress connects to other standard modeling languages, such as AIMMS, AMPL, and GAMS. The FICO Xpress Executor [12] executes and deploys Mosel models, using SOAP or REST interfaces. It can be used from external applications or from the FICO Decision Management Platform.
The winner of Sunday night's game will become just the ninth team in NFL history to finish a regular season with 15 or more wins. The loser will have the most wins of any wild-card team in history.
Introduced in Python 2.2 as an optional feature and finalized in version 2.3, generators are Python's mechanism for lazy evaluation of a function that would otherwise return a space-prohibitive or computationally intensive list. This is an example to lazily generate the prime numbers:
After being the subject of cultural debates throughout her rookie season, Caitlin Clark admitted to feeling "privilege" as a White woman.
If this was just five years ago, let alone 10 or 20, the prospect of 72-year-old Bill Belichick as a college football coach would have been more about a splashy hire than the promise of great success.